The document presents Facebook's Q3 2012 quarterly earnings, highlighting forward-looking statements, user metrics, and revenue details including advertising revenue and average revenue per user. It also discusses financial performance in terms of GAAP and non-GAAP measures, with adjustments related to share-based compensation. Key figures include 1,262 million monthly active users and revenue of $1,262 million, demonstrating growth but also reporting net losses in certain periods.

1. Quarterly Earnings Slides
Q3 2012

2. Safe Harbor
This presentation contains forward-looking statements, which are subject to the safe harbor provisions of the
Private Securities Litigation Reform Act of 1995. All statements other than statements of historical facts
contained in this presentation, including statements regarding our estimates of future stock-based
compensation expense, are forward-looking statements. These forward-looking statements are only
predictions and may differ materially from actual results due to a variety of factors, including variations in the
future price of our common stock as well as future grants and forfeitures of equity awards. In addition, please
note that the date of this presentation is October 23, 2012, and any forward-looking statements contained
herein are based on assumptions that we believe to be reasonable as of this date. We undertake no obligation
to update these statements as a result of new information or future events.
In addition to U.S. GAAP financials, this presentation includes certain non-GAAP financial measures. These
non-GAAP measures are in addition to, not a substitute for or superior to, measures of financial performance
prepared in accordance with U.S. GAAP. A reconciliation of non-GAAP financial measures to the corresponding
GAAP measures is provided in the appendix to this presentation. Please also see the appendix to this
presentation for information concerning limitations of our key user metrics.

3. Monthly Active Users (MAUs)
Millions of MAUs 1,007
Rest of World
955
Asia
901
845 288
Europe
800 268
US & Canada
739 245
680 225
207
608 183
550 161 277
133 234 255
196 212
126 174
156
138
113
229 239 246 253
201 212 221
167 183
144 154 163 169 176 179 183 186 189
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
Please see Facebook's Form 10-Q for the quarter ended September 30, 2012 for definitions of user activity used to determine the number of our MAUs, DAUs and
mobile MAUs. The number of MAUs, DAUs, and mobile MAUs do not include Instagram users unless such users would otherwise qualify as MAUs, DAUs, and
mobile MAUs based on activity that is shared back to Facebook.
In June 2012, we discovered an error in the algorithm we used to estimate the geographic location of our users that affected our attribution of certain user
locations for the first quarter of 2012. The first quarter of 2012 user metrics reflect a reclassification to more correctly attribute users by geographic region.
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4. Daily Active Users (DAUs)
584
Millions of DAUs 552
526
Rest of World
483 152
Asia 457 139
Europe 126
417
US & Canada
109
372 100
87 141
327 119 129
293 74 105
58 98
85
54 72
64
54 152 154 160
135 143
127
107 120
94
105 117 124 126 129 130 132
92 99
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
DAUs / MAUs
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
53% 54% 55% 56% 57% 57% 58% 58% 58%
Please see Facebook's Form 10-Q for the quarter ended September 30, 2012 for definitions of user activity used to determine the number of our MAUs, DAUs and
mobile MAUs. The number of MAUs, DAUs, and mobile MAUs do not include Instagram users unless such users would otherwise qualify as MAUs, DAUs, and
mobile MAUs based on activity that is shared back to Facebook.
For non-worldwide DAU user numbers presented for the periods marked March 31, 2012 and June 30, 2012, the figures represent an average of the first 25 days
of the period and the last 27 days of the period, respectively, due to the algorithm error described in the MAU note on slide 3. These average numbers do not
meaningfully differ from the average numbers when calculated over a full month.
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5. Mobile Monthly Active Users (Mobile MAUs)
Millions of Mobile MAUs
604
543
488
432
376
325
288
245
196
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
Please see Facebook's Form 10-Q for the quarter ended September 30, 2012 for definitions of user activity used to determine the number of our MAUs,
DAUs and mobile MAUs. The number of MAUs, DAUs, and mobile MAUs do not include Instagram users unless such users would otherwise qualify as MAUs,
DAUs, and mobile MAUs based on activity that is shared back to Facebook.
5

6. Revenue
Millions of Dollars
Payments and other fees
Advertising
$1,262
$1,184
$1,131
$1,058 $176
$192
$954 $188
$895 $186
$156
$119
$731 $731
$76 $94
$467 $1,086
$943 $992
$17 $872
$776 $798
$655 $637
$450
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
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7. Revenue by User Geography
Millions of Dollars $1,262
$1,184
Rest of World
$1,131 $130
Asia $1,058 $113
$87
Europe $154
$954 $87 $135
US & Canada $115
$895 $78 $118
$65
$731 $104 $341
$731 $82 $346
$43 $361
$47 $328
$58 $62
$275 $290
$467 $218
$25 $229
$37
$134 $637
$567 $590
$471 $482 $525
$412 $394
$271
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
Revenue by user geography is geographically apportioned based on our estimation of the geographic location of our users when they perform a
revenue-generating activity. This allocation differs from our revenue by geography disclosure in our consolidated financial statements where
revenue is geographically apportioned based on the location of the advertiser or developer.
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8. Advertising Revenue by User Geography
Millions of Dollars $1,086
Rest of World $992 $120
Asia $943
$104
Europe $79 $872 $133
US & Canada $798 $79 $115
$776 $95
$61 $71 $99
$655
$637 $74 $88 $295
$41
$44 $306 $294
$53 $56
$450 $274
$245 $245
$24 $201
$206
$36
$130
$538
$462 $479
$394 $395 $419
$359 $332
$260
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
Revenue by user geography is geographically apportioned based on our estimation of the geographic location of our users when they perform a
revenue-generating activity. This allocation differs from our revenue by geography disclosure in our consolidated financial statements where
revenue is geographically apportioned based on the location of the advertiser or developer.
8

9. Payments & Other Revenue by User Geography
Millions of Dollars $192
$188 $186
Rest of World
$8 $9 $176
$8
Asia
$20 $19 $20 $10
Europe $156
US & Canada $7 $21
$16 $52
$55 $54
$119
$46
$4
$8 $45
$94
$76 $3 $30
$6
$2
$5 $23
$17
$105 $106 $111
$99
$87
$77
$62
$17 $53
$11
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
Revenue by user geography is geographically apportioned based on our estimation of the geographic location of our users when they perform a
revenue-generating activity. This allocation differs from our revenue by geography disclosure in our consolidated financial statements where
revenue is geographically apportioned based on the location of the advertiser or developer.
9

10. Payments Revenue Recognition Timing
Payments terms and conditions provide for a 30-day claim period following a
Payments transaction during which the customer may dispute the transaction.
 In Q3 and prior, due to insufficient transaction  Therefore starting in Q4, we expect to record
history, Payments revenues have been recognized all Payments revenues in the month the
after the claim period lapses. transaction occurs, net of estimated refunds or
 For example, transactions occurring in June chargebacks. We anticipate that this
are recognized as revenue 30 days later, in change will result in a one-time increase
July, and included in Q3 revenue. So Q3 in Payments revenue in the fourth
revenue reflects transactions that occurred quarter as we recognize revenue from an
during the months of June, July and August. extra month of payments transactions
(those occurring in September through
 In Q4 we will have 24 months of historical December.)
transactional information at which time we believe
we will be able to reasonably estimate future
refunds and chargebacks.
June Jul Aug Sept Oct Nov Dec Jan Feb Mar
Q 3 2012 Q 4 2012 Q1 2013
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11. Average Revenue per User (ARPU)
Worldwide US & Canada& Canada
$1.38 $3.40
$1.26 $1.26 $1.24 $1.28 $1.29 $3.20 $3.20
$1.21 $2.90
$1.14 $2.84 $2.80
$2.77
$2.49
$0.90
$1.93
Q3'10Q4'10Q1'11Q2'11Q3'11Q4'11Q1'12Q2'12Q3'12 Q3'10Q4'10Q1'11Q2'11Q3'11Q4'11Q1'12Q2'12Q3'12
Europe Asia Rest of the World
$0.58
$0.56 $0.56 $0.53 $0.55
$1.60 $0.47
$0.50 $0.44
$1.40 $1.43 $1.37 $0.46 $0.41
$1.33 $1.34 $0.43 $0.38 $0.40 $0.37
$1.25 $1.19
$0.33
$0.36 $0.31
$0.84
$0.22
Q3'10Q4'10Q1'11Q2'11Q3'11Q4'11Q1'12Q2'12Q3'12 Q3'10Q4'10Q1'11Q2'11Q3'11Q4'11Q1'12Q2'12Q3'12 Q3'10Q4'10Q1'11Q2'11Q3'11Q4'11Q1'12Q2'12Q3'12
Revenue by user geography is geographically apportioned based on our estimation of the geographic location of our users when they perform a
revenue-generating activity. This allocation differs from our revenue by geography disclosure in our consolidated financial statements where
revenue is geographically apportioned based on the location of the advertiser or developer. The ARPU amount for US & Canada region in Q1
2012 reflects an adjustment based on the reclassification of certain users between geographical regions to more correctly attribute users by
geographic region.
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12. Share-Based Compensation Expense
$1,106
Millions of Dollars
Pre-2011 RSUs
Post-2011 RSUs
Options & Other
$986
$179 ~$190
$28 $30
$103
$64 $70 $76
$138 $135
$4 $6 $7 $97 $113
$58 $59 $74
$25
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12 Q4'12E
Q4 2012 expenses are estimates and exclude any potential impact of future acquisitions.
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13. Expenses as a % of Revenue
Share-based compensation + Payroll tax related to share-based compensation All other expenses
Cost of Revenue 31% Research & Development
26% 60%
25% 26%
22%
24% 26% 25% 25% 19%
22%
14%
11% 11%
8% 7% 9% 9% 11%
Q3'11 Q4'11 Q1'12 Q2'12 Q3'12 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
Marketing & Sales 33%
General & Administrative
39%
12% 14% 13%
11%
10% 12%
9% 8%
11% 9% 12% 11% 12%
6% 7% 8% 11% 10%
Q3'11 Q4'11 Q1'12 Q2'12 Q3'12 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
We have reclassified certain prior period amounts in marketing and sales to general and administrative expense to conform to our current
period presentation. These reclassifications did not affect revenue, total costs and expenses, income (loss) from operations, or net (loss)
income.
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14. GAAP Income (Loss) from Operations & Margin
Income (Loss) from Operations ($M)
$437 $548
$388 $407 $414 $381 $377
$216
$(743)
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
Operating Margin
46% 60% 53% 48%
45% 43% 36% 30%
(63%)
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
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15. Effective Tax Rate
(in millions) Q1 Q2 Q3 YTD
2012 2012 2012 2012
Revenue $ 1,058 $ 1,184 $ 1,262 $ 3,504
Costs and expenses:
Cost of revenue 277 367 322 967
Research and development 153 705 244 1,102
Marketing and sales 143 392 168 703
General and administrative 104 463 151 717
Total costs and expenses 677 1,927 885 3,489
Income from operations 381 (743) 377 15
Interest and other income (expense), net
Interest expense (13) (10) (11) (35)
Other income (expense), net 14 (12) 6 9
Income (loss) before provision for income taxes 382 (765) 372 (11)
Provision for (benefit from) income taxes 177 (608) 431 -
Net income (loss) $ 205 $ (157) $ (59) $ (11)
Effective Tax Rate 46% 79% 116% 0%
Q2 and Q3 effective tax rates were influenced by significant share-based compensation expense resulting from our initial public
offering, a portion of which is not tax-deductible. A combination of tax benefits recorded in Q2 and tax provisions in Q1 and
Q3 result in an approximately 0% effective tax rate in the year-to-date period.
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16. GAAP Net Income (Loss)
Millions of Dollars
$302
$251 $240
$233 $227
$205
$131
$(59)
$(157)
Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12
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17. Non-GAAP Net Income
Millions of Dollars
$890
$804
$311
$273
Q3 2011 Q3 2012 YTD '11 YTD '12
Quarterly YTD
Non-GAAP net income excludes share based compensation expense, payroll tax expenses related to share-based compensation, and related
income tax adjustments—see the Appendix for a reconciliation of this non-GAAP measure to GAAP net income.
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18. Capital Investments
$1,288
Millions of Dollars
Property and equipment acquired
$1,079 $251
under capital leases
Purchases of property
and equipment
$473 $814
$393
$510
$1,037
$217
$606
$421
$89 $293
$56
$33
2009 2010 2011 YTD'11 YTD'12
Annual YTD
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19. Employees
Period-end Headcount
4,331
3,200
2,958
2,127
1,218
2009 2010 2011 YTD'11 YTD'12
Annual YTD
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20. Appendix

21. Reconciliations
Three Months Ended Nine Months Ended
September 30, September 30,
2011 2012 2011 2012
GAAP net income (loss) $ 227 $ (59) $ 698 $ (11)
Share-based compensation expense 70 179 141 1,388
Payroll tax expenses related to share-based compensation - (31) 7 122
Income tax adjustments (24) 222 (42) (609)
Non-GAAP net income $ 273 $ 311 $ 804 $ 890
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22. Limitations of Key Metrics
The numbers of our MAUs and DAUs and average revenue per user (ARPU) are calculated using internal
company data. While these numbers are based on what we believe to be reasonable estimates of our user
base for the applicable period of measurement, there are inherent challenges in measuring usage of our
products across large online and mobile populations around the world. For example, there may be
individuals who maintain one or more Facebook accounts in violation of our terms of service, despite our
efforts to detect and suppress such behavior. We estimate, for example, that “duplicate” accounts (an
account that a user maintains in addition to his or her principal account) may have represented
approximately 4.8% of our worldwide MAUs as of June 30, 2012. We also seek to identify “false” accounts,
which we divide into two categories: (1) user-misclassified accounts, where users have created personal
profiles for a business, organization, or non-human entity such as a pet (such entities are permitted on
Facebook using a Page rather than a personal profile under our terms of service); and (2) undesirable
accounts, which represent user profiles that we determine are intended to be used for purposes that violate
our terms of service, such as spamming. As of June 30, 2012, for example, we estimate user-misclassified
accounts may have represented approximately 2.4% of our worldwide MAUs and undesirable accounts
may have represented approximately 1.5% of our worldwide MAUs. We believe the percentage of
accounts that are duplicate or false is meaningfully lower in developed markets such as the United States
or Australia and higher in developing markets such as Indonesia and Turkey. However, these estimates
are based on an internal review of a limited sample of accounts and we apply significant judgment in
making this determination, such as identifying names that appear to be fake or other behavior that appears
inauthentic to the reviewers. As such, our estimation of duplicate or false accounts may not accurately
represent the actual number of such accounts. We are continually seeking to improve our ability to identify
duplicate or false accounts and estimate the total number of such accounts, and such estimates may be
affected by improvements or changes in our methodology.
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23. Limitations of Key Metrics (continued)
Our metrics are also affected by applications on certain mobile devices that automatically contact our
servers for regular updates with no user action involved, and this activity can cause our system to count
the user associated with such a device as an active user on the day such contact occurs. For example, we
estimate that less than 5% of our estimated worldwide DAUs as of December 31, 2011 and 2010 resulted
from this type of automatic mobile activity, and that this type of activity had a substantially smaller effect on
our estimate of worldwide MAUs and mobile MAUs. The impact of this automatic activity on our metrics
varies by geography because mobile usage varies in different regions of the world. In addition, our data
regarding the geographic location of our users is estimated based on a number of factors, such as the
user’s IP address and self-disclosed location. These factors may not always accurately reflect the user’s
actual location. For example, a mobile-only user may appear to be accessing Facebook from the location
of the proxy server that the user connects to rather than from the user’s actual location. The
methodologies used to measure user metrics may also be susceptible to algorithm or other technical
errors. For example, in early June 2012, we discovered an error in the algorithm we use to estimate the
geographic location of our users that affected our attribution of certain user locations for the period ended
March 31, 2012. While this issue did not affect our overall worldwide MAU number, it did affect our
attribution of users to different geographic regions. We estimate that the number of MAUs as of March 31,
2012 for the United States and Canada region was overstated as a result of the error by approximately 3%
and these overstatements were offset by understatements in other regions. In addition, our estimates for
revenue by user location are also affected by these factors. We regularly review and may adjust our
processes for calculating these metrics to improve their accuracy. In addition, our MAU and DAU estimates
will differ from estimates published by third parties due to differences in methodology. For example, some
third parties are not able to accurately measure mobile users or do not count mobile users for certain user
groups or at all in their analyses.
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