Samsung reported financial results for 2020. Revenue increased 2.8% to KRW 236.8 trillion while net income grew 21.3% to KRW 26.1 trillion. Gross profit margin was 37.2% and operating expenses such as SG&A and R&D increased slightly. Total assets increased to KRW 378.2 trillion with cash and short term investments comprising 33% of assets. Total liabilities were KRW 102.3 trillion and common shareholders' equity was KRW 267.7 trillion.
Income statementsamsung fiscal year is january december. all values
1. income statementsamsungFiscal year is January-December. All
values KRW
Millions.20202019201820172016Sales/Revenue236,806,988230,
400,881243,771,415239,575,376201,866,745Sales
Growth2.78%-5.48%1.75%18.68%-Cost of Goods Sold (COGS)
incl.
D&A148,612,196151,017,841135,277,299132,072,774122,682,8
33COGS excluding
D&A118,276,580121,420,203108,795,262109,955,382101,969,8
68Depreciation & Amortization
Expense30,335,61629,597,63826,482,03722,117,39220,712,965
Depreciation27,115,73526,573,81625,167,112 20,593,61619,312
,520Amortization of
Intangibles3,219,8813,023,8221,314,9251,523,7761,400,445CO
GS Growth-1.59%11.64%2.43%7.65%-Gross
Income88,194,79279,383,040108,494,116107,502,60279,183,91
2Gross Income Growth11.10%-26.83%0.92%35.76%-Gross
Profit Margin37.24%----SG&A
Expense52,200,91651,614,53149,607,44753,857,56449,943,240
Research &
Development19,073,26918,169,76116,918,88214,910,11912,708
,079Other
SG&A33,127,64733,444,77032,688,56538,947,44537,235,161S
GA Growth1.14%4.05%-7.89%7.84%-
EBIT35,993,87627,768,50958,886,66953,645,03829,240,672Un
usual Expense--1,575366,705872,985Non Operating
Income/Expense-
1,546,734277,052112,4971,757,3711,409,977Non-Operating
Interest
Income1,974,4582,660,0242,297,1391,614,2231,504,318Equity
in Affiliates (Pretax)--539,845201,44219,501Interest
Expense583,013692,687674,617655,402587,831Interest
Expense Growth-15.83%2.68%2.93%11.49%-Gross Interest
Expense586,910692,687696,721675,113605,475Interest
2. Capitalized3,897-22,10419,71117,644Pretax
Income35,838,58730,019,22961,159,95856,195,96730,713,652P
retax Income Growth19.39%-50.92%8.83%82.97%-Pretax
Margin15.13%----Income
Tax9,937,2858,693,32416,815,10114,009,2207,987,560Income
Tax - Current
Domestic7,700,7885,736,01913,520,33510,943,9335,916,818Inc
ome Tax - Deferred
Domestic2,236,4972,957,3053,294,7663,065,2872,070,742Equit
y in Affiliates506,530412,960---Consolidated Net
Income26,407,83221,738,86544,344,85742,186,74722,726,092
Minority Interest
Expense316,986233,811453,980842,178310,437Net
Income26,090,84621,505,05443,890,87741,344,56922,415,655N
et Income Growth21.32%-51.00%6.16%84.45%-Net
Margin11.02%----Net Income After
Extraordinaries26,090,84621,505,05443,890,87741,344,56922,4
15,655Net Income Available to
Common26,090,84621,505,05443,890,87741,344,56922,415,655
EPS (Basic)3841.033165.926460.735990.883155.64EPS (Basic)
Growth21.32%-51.00%7.84%89.85%-Basic Shares
Outstanding6,7936,7936,7936,9017,103EPS
(Diluted)3841.033165.926460.735990.883155.65EPS (Diluted)
Growth21.32%-51.00%7.84%89.85%-Diluted Shares
Outstanding6,7936,7936,7936,9017,103 EBITDA66,329,49257,3
66,14785,368,70675,762,43049,953,637EBITDA
Growth15.62%-32.80%12.68%51.67%-EBITDA Margin28.01%-
---
EBIT35,993,87627,768,50958,886,66953,645,03829,240,672113
.770176782.81683791126.543959115.596885684.97958937sour
cehttps://www.google.com/search?q=apple+company+wsj&oq=a
pple+&aqs=chrome.1.69i59l3j69i57j46i433j69i60l3.7083j0j7&s
ourceid=chrome&ie=UTF-8
balance sheetAssetsFiscal year is January-December. All values
KRW Millions.202020192018201720165-year trendCash &
Short Term
3. Investments124,652,843108,779,703100,939,94383,184,20188,1
82,313Cash
Only29,382,57826,885,99930,340,50530,545,13032,132,983Sho
rt-Term
Investments95,270,26581,893,70470,599,43852,639,07156,049,
330Cash & Short Term Investments Growth000-0-Cash & ST
Investments / Total
Assets32.96%30.85%29.74%27.57%33.63%Total Accounts
Receivable34,569,59739,310,46336,948,46631,804,95627,800,4
08Accounts Receivables,
Net3096505800.00%3513134300.00%3386773300.00%2769599
500.00%2427921100.00%Accounts Receivables,
Gross31,343,27635,530,41934,470,34228,362,52324,725,603Ba
d Debt/Doubtful Accounts-378,218-399,076-602,609-666,528-
446,392Other
Receivables3,604,5394,179,1203,080,7334,108,9613,521,197Ac
counts Receivable Growth-12.06%6.39%16.17%14.40%-
Accounts Receivable
Turnover685.00%586.00%660.00%753.00%7.26Inventories32,0
43,14526,766,46428,984,70424,983,35518,353,503Finished
Goods10,434,2899,132,7209,870,0547,304,4375,905,339Work
in
Progress11,818,0909,886,63411,066,5117,113,9015,017,384Ra
w
Materials9,790,7667,747,1108,048,13910,565,0177,430,780Oth
er Current
Assets9,789,0249,654,31710,594,5279,289,60310,160,057Prepa
id
Expenses2,266,1003,833,0535,497,9745,588,8924,942,021Misc
ellaneous Current
Assets7,522,9245,821,2645,096,5533,700,7115,218,036Total
Current
Assets201,054,609184,510,947177,467,640149,262,1151 44,496,
281Net Property, Plant &
Equipment128,952,892119,825,474115,416,724111,665,64891,4
73,041Property, Plant & Equipment -
4. Gross328,606,313304,075,769279,158,166256,528,604225,172,
654Buildings55,026,36948,839,43945,033,84341,639,04536,474
,462Land &
Improvements9,850,9429,828,3099,346,2859,409,2767,869,679
Machinery &
Equipment233,056,501211,416,021206,407,913184,392,999155,
285,378Construction in
Progress20,175,91723,930,0199,705,05613,910,74918,773,986O
ther Property, Plant &
Equipment10,496,58410,061,9818,665,0697,176,5356,769,149A
ccumulated
Depreciation199,653,421184,250,295163,741,442144,862,95613
3,699,613Buildings20,474,36518,369,81915,687,93313,580,889
12,098,636Land & Improvements78,78653,755---Machinery &
Equipment172,062,371159,266,085142,591,682126,477,201116,
983,323Other Property, Plant &
Equipment7,037,8996,560,6365,461,8274,804,8664,617,654Tot
al Investments and
Advances21,854,96417,561,32815,628,29314,661,28212,642,16
0LT Investment - Affiliate
Companies8,076,7797,591,6127,313,2066,802,3515,837,884O th
er Long-Term
Investments13,778,1859,969,7168,315,0877,858,9316,804,276I
ntangible
Assets18,468,50220,703,50414,891,59814,760,4835,344,020Net
Goodwill5,673,6426,250,4395,833,6785,703,1381,343,580Net
Other
Intangibles12,794,86014,453,0659,057,9209,057,3454,000,440
Other
Assets6,468,7818,583,88213,255,2038,620,5265,963,949Deferr
ed
Charges1,355,502589,8325,572,0354,260,2674,391,922Tangible
Other
Assets5,113,2797,994,0507,683,1684,360,2591,572,027Total
Assets378,235,718352,564,497339,357,244301,752,090262,174,
324Assets - Total - Growth0000-Asset Turnover1----Return On
5. Average Assets7.14%----Liabilities & Shareholders' EquityAll
values KRW Millions.202000.00%20192018201720165-year
trendST Debt & Current Portion LT
Debt17,269,52815,239,55813,620,04616,046,23813,979,606Sho
rt Term
Debt16,553,42914,393,46813,586,66015,767,61912,746,789Cur
rent Portion of Long Term
Debt716,099846,09033,386278,6191,232,817Accounts
Payable9,739,2228,718,2228,479,9169,083,9076,485,039Accou
nts Payable Growth11.71%2.81%-6.65%40.07%-Income Tax
Payable4,430,2721,387,7738,720,0507,408,3482,837,353Other
Current
Liabilities44,165,32938,437,21138,261,49834,636,62131,402,09
7Miscellaneous Current
Liabilities44,165,32938,437,21138,261,49834,636,62131,402,09
7Total Current
Liabilities75,604,35163,782,76469,081,51067,175,11454,704,09
5Current Ratio2.662.892.572.222.64Quick
Ratio2.242.472.151.852.31Cash
Ratio1.651.711.461.241.61Long-Term
Debt2,947,8533,172,4791,047,0572,767,8071,302,780Long-
Term Debt excl. Capitalized
Leases948,137975,298996,9352,710,2691,237,653Non-
Convertible
Debt948,137975,298996,9352,710,2691,237,653Capitalized
Lease Obligations--50,12257,53865,127Provision for Risks &
Charges1,515,8861,081,8801,167,683854,246531,782Deferred
Taxes17,374,87515,674,44612,464,7378,928,7455,038,641Defer
red Taxes -
Credit18,810,84517,053,80815,162,52311,710,7817,293,514Def
erred Taxes -
Debit1,435,9701,379,3622,697,7862,782,0362,254,873Other
Liabilities3,408,7674,593,1455,145,2944,752,7145,379,120Othe
r Liabilities (excl. Deferred
Income)3,408,7674,593,1455,145,2944,752,7145,379,120Total
Liabilities102,287,70289,684,07691,604,06787,260,66269,211,2
15. >cases
State Farm, the nation’s largest auto insurer, distributed a list of
the 10 most
dangerous intersections in the United States based on crashes
resulting in claims
by its policyholders. What started as a study to reduce risk
turned into an ongoing
study that directs a major public relations effort: State Farm
provides funds for
communities to further research their dangerous intersections
and initiate improve-
ments based on the research. This case tells you how the State
Farm Dangerous
Intersections initiative got started and how it is done.
www.statefarm.com
>Abstract
>The Scenario
State Farm Insurance has a rich history of proactive safety
involvement in auto and
appliance design to reduce injury and property loss. In June
2001, State Farm
Insurance, Inc., released the second report in its Dangerous
Intersection reporting
series. State Farm modeled its program after an initiative by the
Insurance Corporation
of British Columbia, Canada (ICBC), and the American
Automobile Association of
Michigan (AAA) to help position the nation’s largest auto
insurer as the most safety-
conscious insurer. ICBC had patterned its program on an earlier
effort in Victoria,
Australia. AAA, in turn, benchmarked its program on the ICBC
program. AAA
16. invited State Farm to help fund one of its intersection studies.
State Farm saw this as
an opportunity to expand its effort into a nationwide campaign
in 1999. “The 2001
study is part of a larger effort focused on loss prevention and
improving the safety of
intersections around the U.S.A.,” shared State Farm research
engineer John
Nepomuceno. State Farm has allocated significant resources as
well as funds to the
initiative. Since its inception, every city with an intersection on
the overall list of
dangerous intersections is eligible to apply for a $20,000 grant
to defray the cost of
a comprehensive traffic engineering study of the intersection.
Additionally, each city
named to the national top 10 dangerous intersection list is
eligible for a grant of
$100,000 per intersection to defray some of the cost of making
improvements. All
totaled, State Farm offered $4.44 million to the safety initiative
in its first year.
Due to its large market share, State Farm is the only U.S.
insurer in a position to
mine its databases for the requisite information on accidents to
come up with a
viable U.S. list. But it found that although it had the interest to
do so, its data warehouse
did not have sufficient information to tally accident rates for
intersections. To rectify
this, in 1998 State Farm included a location field as part of the
data that its claims
adjusters regularly complete. This location information, in
open-text format, indicates
whether the accident took place in an intersection or as part of
18. incident reports, not at any public records involving traffic
patterns or volume or
police incident reports. Based on industry market share
information, State Farm
was able to estimate the total number of crashes at a given
intersection. “There was
good reason to exclude police reports and traffic counts,”
explained Nepomuceno.
“The reporting threshold for police filing reports on accidents
differs widely from
jurisdiction to jurisdiction. Some will only fill out reports when
personal injury or
criminal behavior is involved. Others will fill them out only
when a vehicle is damaged
to the degree that it needs to be towed from the scene. Still
others fill out such
reports on every incident. Traffic volume reports are often
prepared infrequently
and often by independent sources. Not only may the data quality
be questionable,
but the time period in which the data was collected may not
match our 1998 incident
reports in every city involved. Also, when traffic volumes are
factored in, low volume
roads with relatively few crashes are often deprioritized. Now
that we’re through
with the 2001 study, we are asking ourselves if intersection
volume should be factored
in, and if so, how it can be included without significantly
increasing our effort in data
processing.”
In the 1998 study, State Farm identified 172 dangerous
intersections. The top
10 most dangerous intersections in the United States were
released publicly
19. (www.statefarm. com). Public affairs staff for each state could
request that up to 10
intersections be identified for their state. “This was usually
determined by the resources
that our local public affairs staff were willing to put toward the
program,” shared
Nepomuceno. “Each state had to recognize a top 10 national
intersection, but they
could request that no more be released or that up to 10
intersections within their
state be released.” As of August 2001, 97 cities (56.4 percent)
had applied for
State Farm grants.
“While some in the media claimed we had ‘hit a home run’ with
the program, we
quickly learned that there was a lot more at stake than we had
anticipated in generating
goodwill with transportation engineers,” indicated Nepomuceno.
“This is, after all, a
traffic safety program and we would not achieve that goal
without having the
cooperation of the traffic and transportation engineering
community. First, while
initially they lauded us for the attention our listing brought to
traffic concerns, we and
they soon discovered that the spotlight generated demand for
immediate solutions,
solutions that they often didn’t have budgets to implement.
Also, from their
perspective, not all accidents are the same; locations with
accidents that result in
injuries and death should be given more attention. Some
jurisdictions were upset
that we didn’t consider intersection volume and we didn’t
include accident rate
20. data.1 The fact that the State Farm grants were intended to
study the intersection
State Farm: Dangerous Intersections
Business Research Methods, 14e/Schindler
3
more completely wasn’t always seen as a solution to their
immediate problems.”
To include accident severity, State Farm needed a measurement
system for
classifying accidents. For the 2001 study, which used 1999 and
2000 accident data,
State Farm calculated a median property damage accident
payout (approximately
$1,700). Incidents requiring payout of more than the median
amount were classified
as “high severity”; those requiring less, “low severity.”
Additionally, State Farm chose
to classify each accident using a multipoint scale. Zero was
assigned to “no property
damage, no personal injury” incidents and a higher number was
assigned to “High
property damage, personal injury” incidents, with numbers in
between assigned to
levels of property damage and personal injury (see Exhibit SF
1–1). Accident scores
were summed to create an aggregate danger index for each
intersection. Each
intersection was then weighted by dividing the danger index by
State Farm’s market
21. share in the area. Of the 224 intersections identified, the top 10
were released to the
national media. Each of those 224 is now eligible for the
$20,000 grant to study the
intersection to identify specific improvements; the top 10 are
also eligible for $100,000
grants for improvements. In this second round, State Farm has
committed $5.48
million to the safety program.
State Farm is making plans to track the success of the
Dangerous Intersection
program. Once cities notify them of the completion of an
intersection’s improvements,
State Farm will start tracking accidents for that intersection for
a period of one year.
The first post-improvement evaluation study is expected in
2002. Additionally, State
Farm is taking steps to learn from the characteristics of the
dangerous intersections.
Each grant application for an affected city’s study of a
dangerous intersection must
include:
• Collection and analysis of police report data.
• An engineer’s “geometric review”2of the intersection.
• A capacity profile of the intersection.
• A traffic conflict study.3
• A benefit-cost analysis.
• A schedule of improvements (short-term, intermediate-term,
and long-term).4
State Farm plans to use the new data to identify patterns of
problems. This may
lead to a model of desired intersection traits against which
improvement plans can
22. be assessed, further increasing the effectiveness of the loss
prevention program and
making life a little easier for the transportation engineers with
whom they must partner
to achieve safety success.
Exhibit SF 1–1 Danger Codes
No Personal Injury With Personal Injury
No property damage 0 Y
Low property damage 1 1 + Y
High property damage X X + Y
State Farm: Dangerous Intersections
Business Research Methods, 14e/Schindler
4
1 Identify the various constructs and concepts involved in the
study.
2 What hypothesis might drive the research of one of the cities
on the top 10
dangerous intersection list?
3 Evaluate the methodology for State Farm’s research.
4 If you were State Farm, how would you address the concerns
of transpor-
tation engineers?
5 If you were State Farm, would you use traffic volume counts
as part of the
23. 2003 study? What concerns, other than those expressed by
Nepomuceno,
do you have?
>>>>>Discussion
>>>>>Sources
>Notes
1 Accident rate is calculated by dividing the number of
accidents in a given period by the total
traffic volume over the same period.
2 The intersection geometry or physical layout of the
intersection can play an important role
in influencing driver behavior at intersections. For example, a
curve on the approach to an
intersection may impede the sight distance to a traffic signal,
preventing drivers from
stopping in time. Or, a driver approaching two signalized
intersections very closely spaced
may see the traffic signals at both intersections and become
confused about which traffic
signal to obey.
3 A traffic conflict study is an observation study of traffic
conflicts that do not necessarily
end in an accident but have the potential to do so. Recording
and studying observations of
driver behavior is expected to help traffic engineers understand
the same problems that
result in collisions. Some examples of conflicts are the sound of
sharply applied breaks;
sudden, unsignaled lane changes; or drivers hitting their horns.
24. 4 Short-term improvements might include sign changes, changes
in lane markings, or signal-
timing changes. Most short-term improvements can be
implemented in less than two years.
Intermediate-term improvements might involve lane widening,
the addition of turn lanes,
etc., and be accomplished within 2–5 years. Examples of long-
term improvements include
grade separation of the intersecting roads and can take 5–10
years to implement.
This case is based on information provided by John
Nepomuceno in interviews that took
place on August 9, 2001, and September 13, 2001. Other
sources include: “Miami Area Intersection
Tops State Farm List of Most Dangerous in the United States,”
State Farm press release, June
27, 2001 (http://www.statefarm.
com/media/release/danger00.htm); “Research” (http://
www.statefarm.com/media/methods.htm); and “State Farm 1999
Dangerous Intersection National
Status List” (http://www.statefarm.com/media/statustop.htm);
and “State Farm’s Dangerous
Intersection Initiative,” Institute of Transportation Engineers
press release, June 27, 2001
(http://www.ite.org/press_release.htm).
State Farm: Dangerous Intersections
Criteria Ratings Points
Content -
25. Part I -
Initial Post
9 to >8.0 pts
Advanced
Author responded to all
case study questions by
posted deadlines.
Insightful throughout.
Completely developed all
relevant information.
Critical issues and key
areas that supported
each question were
clearly identified,
analyzed, and supported.
8 to >7.0 pts
Proficient
Author responded to all
case study questions by
posted deadlines.
Specific, solid. Less
carefully developed.
Some insights. Critical
issues and key areas
that supported each
question were partially
identified, analyzed, and
supported.
7 to >0.0 pts
26. Developing
Author responded to at least 4
questions by posted deadlines.
Vague, obvious,
underdeveloped, or too broad.
One or more main issues not
identified. Limited evidence of
critical thinking. Critical issues
and key areas that supported
each question were not clearly
identified, analyzed, and
supported.
0 pts
Not
Present
9 pts
Content -
Part I -
Direct
Application
of
Scholarly
Research
&
Integration
of Biblical
Principles
9 to >8.0 pts
27. Advanced
Author accurately applied
5 or more scholarly (peer
reviewed) sources to the
discussion. Author
accurately applied at
least 1 scholarly
(peer-reviewed) source to
each question. Author
accurately applied at
least 1 scriptural/Biblical
principles in each
question response.
8 to >7.0 pts
Proficient
Author accurately
applied at least 4
scholarly (peer
reviewed) sources to the
discussion. Author
accurately applied at
least 1 scholarly
(peer-reviewed) source
to each question. Author
accurately applied at
least 1 scriptural/Biblical
principle in each
question response.
7 to >0.0 pts
Developing
28. Author accurately applied 1 -3
scholarly (peer reviewed)
sources to the discussion.
Author accurately applied at
least 1 scholarly
(peer-reviewed) source to
some questions. Author
accurately applied at least 1
scriptural/Biblical principle in
each question response.
0 pts
Not
Present
9 pts
Content -
Part I -
Mechanics,
APA Style
& Word
Count
7 to >6.0 pts
Advanced
Correct spelling and
grammar are used
throughout the essay.
There are 0–1 errors in
grammar or spelling that
distract the reader from
29. the content. There are
0–1 minor errors in APA
format in the required
items: citations and
references. The word
count of 800-1000 words
is met.
6 to >5.0 pts
Proficient
There are 2-3 errors in
grammar or spelling that
distract the reader from
the content. There are
2–3 minor errors in APA
format in the required
items. The word count
of at least 750 words is
met.
5 to >0.0 pts
Developing
There are 4-5 errors in
grammar or spelling that
distract the reader from the
content. There are more than
3 errors in APA format in the
required items. The word
count of 500–749 words.
0 pts
30. Not
Present
7 pts
Discussion Grading Rubric | BUSI600_C01_202140
Criteria Ratings Points
Content -
Part II -
Two
Individual
Response
Posts
9 to >8.0 pts
Advanced
Author responded to at
least 2 different peers by
posted deadlines.
Insightful throughout.
Completely developed all
relevant information.
Critical issues and key
areas that supported
each question were
clearly identified,
analyzed, and supported.
Offer at least 1 strength
and 1 weakness for each
reply.
31. 8 to >7.0 pts
Proficient
Author responded to at
least 2 different peers by
posted deadlines.
Specific, solid. Less
carefully developed.
Some insights. Critical
issues and key areas
that supported each
question were partially
identified, analyzed, and
supported. Offer at least
1 strength and 1
weakness for each reply.
7 to >0.0 pts
Developing
Author responded to at least 1
different peer by posted
deadlines. Vague, obvious,
underdeveloped, or too broad.
One or more main issues not
identified. Limited evidence of
critical thinking. Critical issues
and key areas that supported
each question were not clearly
identified, analyzed, and
supported. Offer at least 1
strength and 1 weakness for
one reply.
32. 0 pts
Not
Present
9 pts
Content -
Part II -
Direct
Application
of
Scholarly
Research
&
Integration
of Biblical
Principles
9 to >8.0 pts
Advanced
Author accurately applied
2 or more scholarly (peer
reviewed) sources to
each peer response.
Author accurately applied
at least 1
scriptural/Biblical
principles in each
question response (no
more than 10% of the
total response).
33. 8 to >7.0 pts
Proficient
Author accurately
applied at least 2
scholarly (peer
reviewed) sources to
each peer response.
Author accurately
applied at least 1
scriptural/Biblical
principle in each
question response (no
more than 10% of the
total response).
7 to >0.0 pts
Developing
Author accurately applied 1 or
2 scholarly (peer reviewed)
sources to some peer
response. Author accurately
applied at least 1
scriptural/Biblical principle in
each question response (no
more than 10% of the total
response).
0 pts
Not
Present
34. 9 pts
Content -
Part II -
Mechanics,
APA Style
& Word
Count
7 to >6.0 pts
Advanced
Correct spelling and
grammar are used
throughout the essay.
There are 0–1 errors in
grammar or spelling that
distract the reader from
the content. There are
0–1 minor errors in APA
format in the required
items: citations and
references. The word
count of 450–600 words
is met for each response.
6 to >5.0 pts
Proficient
There are 2-3 errors in
grammar or spelling that
distract the reader from
the content. There are
2–3 minor errors in APA
35. format in the required
items. The word count
of at least 400 words is
met for each response.
5 to >0.0 pts
Developing
There are 4-5 errors in
grammar or spelling that
distract the reader from the
content. There are more than
3 errors in APA format in the
required items. The word
count of 300 - 399 words is
met for each response.
0 pts
Not
Present
7 pts
Total Points: 50
Discussion Grading Rubric | BUSI600_C01_202140