Meta Platforms (META) Operating Expenses (2011 - 2026)
Meta Platforms (META) posted Operating Expenses of $42.03 billion for Q2 2026, up 55.2% from $27.08 billion a year earlier and up 25.7% from the prior quarter.
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Analysis
Meta Platforms (META) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Meta Platforms was $141.32 billion, up 41.2% year-over-year; for FY2025, it came in at $117.69 billion, up 23.7% from FY2024.
- Annual Operating Expenses has increased for 15 consecutive years, with a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In prior years, Meta Platforms' Operating Expenses was $95.12 billion in FY2024 (+7.9%), $88.15 billion in FY2023 (+0.6%), $87.67 billion in FY2022 (+23.2%) and $71.18 billion in FY2021 (+33.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2011.
- On a year-over-year basis, Operating Expenses has increased in each of the last ten quarters, with growth averaging 25.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 55.2%; the weakest was Q4 2023, with a decline of 7.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $33.44 billion (Q1 2026), $35.15 billion (Q4 2025) and $30.71 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Airbnb | 97.86 Bn | 51.09 Bn | 2.98 Bn | 2.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.03 Bn |
| Mar 31, 2026 | 33.44 Bn |
| Dec 31, 2025 | 35.15 Bn |
| Sep 30, 2025 | 30.71 Bn |
| Jun 30, 2025 | 27.08 Bn |
| Mar 31, 2025 | 24.76 Bn |
| Dec 31, 2024 | 25.02 Bn |
| Sep 30, 2024 | 23.24 Bn |
| Jun 30, 2024 | 24.22 Bn |
| Mar 31, 2024 | 22.64 Bn |
| Dec 31, 2023 | 23.73 Bn |
| Sep 30, 2023 | 20.40 Bn |
| Jun 30, 2023 | 22.61 Bn |
| Mar 31, 2023 | 21.42 Bn |
| Dec 31, 2022 | 25.77 Bn |
| Sep 30, 2022 | 22.05 Bn |
| Jun 30, 2022 | 20.46 Bn |
| Mar 31, 2022 | 19.38 Bn |
| Dec 31, 2021 | 21.09 Bn |
| Sep 30, 2021 | 18.59 Bn |
API Access
Meta Platforms Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=META&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "META", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();