Meta Platforms (META) Accumulated Expenses (2011 - 2026)
Meta Platforms' Accumulated Expenses was $38.07 billion in Q2 2026, up 51.9% from $25.06 billion a year earlier and up 22.7% from the prior quarter.
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Analysis
Meta Platforms (META) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Meta Platforms came in at $30.73 billion, up 28.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $23.97 billion in FY2024 (-6.0%), $25.49 billion in FY2023 (+30.4%), $19.55 billion in FY2022 (+31.5%) and $14.87 billion in FY2021 (+33.4%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2011.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 17.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2022 (growth of 61.8%); the worst was Q2 2024 (a decline of 11.1%).
- Per Business Quant data, META's Accumulated Expenses in the three quarters before Q2 2026 was $31.01 billion (Q1 2026), $30.73 billion (Q4 2025) and $27.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn |
| 10 | Airbnb | 97.86 Bn | 51.09 Bn | 2.98 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.07 Bn |
| Mar 31, 2026 | 31.01 Bn |
| Dec 31, 2025 | 30.73 Bn |
| Sep 30, 2025 | 27.05 Bn |
| Jun 30, 2025 | 25.06 Bn |
| Mar 31, 2025 | 23.40 Bn |
| Dec 31, 2024 | 23.97 Bn |
| Sep 30, 2024 | 23.66 Bn |
| Jun 30, 2024 | 21.91 Bn |
| Mar 31, 2024 | 22.64 Bn |
| Dec 31, 2023 | 25.49 Bn |
| Sep 30, 2023 | 23.93 Bn |
| Jun 30, 2023 | 24.66 Bn |
| Mar 31, 2023 | 19.35 Bn |
| Dec 31, 2022 | 19.55 Bn |
| Sep 30, 2022 | 16.04 Bn |
| Jun 30, 2022 | 15.42 Bn |
| Mar 31, 2022 | 15.23 Bn |
| Dec 31, 2021 | 14.87 Bn |
| Sep 30, 2021 | 13.16 Bn |
API Access
Meta Platforms Accumulated 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=accumulated-expenses&ticker=META&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();