Meta Platforms (META) Capital Expenditures (2011 - 2026)
Meta Platforms' Capital Expenditures was $30.12 billion in Q2 2026, up 82.1% from $16.54 billion a year earlier and up 58.5% from the prior quarter.
Meta Platforms (META) Capital Expenditures (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Meta Platforms' Capital Expenditures was $89.33 billion through Jun 30, 2026, up 71.2% year-over-year; for FY2025, it was $69.69 billion, up 87.1% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $37.26 billion in FY2024 (+37.8%), $27.05 billion in FY2023 (-13.3%), $31.19 billion in FY2022 (+66.9%) and $18.69 billion in FY2021 (+23.3%).
- The Q2 2026 figure marks the highest quarterly Capital Expenditures in data going back to Q3 2011.
- Compared with a year earlier, Capital Expenditures has increased for nine straight quarters, with growth averaging 78.4% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2025 (growth of 128.0%); the worst was Q3 2023 (a decline of 30.7%).
- Per Business Quant data, META's Capital Expenditures in the three quarters before Q2 2026 was $19 billion (Q1 2026), $21.38 billion (Q4 2025) and $18.83 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 218.64 Mn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn | -9.97 Bn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | 76.00 Mn |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn | -23.25 Mn |
| 10 | Airbnb | 97.86 Bn | 51.09 Bn | 2.98 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.12 Bn |
| Mar 31, 2026 | 19.00 Bn |
| Dec 31, 2025 | 21.38 Bn |
| Sep 30, 2025 | 18.83 Bn |
| Jun 30, 2025 | 16.54 Bn |
| Mar 31, 2025 | 12.94 Bn |
| Dec 31, 2024 | 14.43 Bn |
| Sep 30, 2024 | 8.26 Bn |
| Jun 30, 2024 | 8.17 Bn |
| Mar 31, 2024 | 6.40 Bn |
| Dec 31, 2023 | 7.59 Bn |
| Sep 30, 2023 | 6.50 Bn |
| Jun 30, 2023 | 6.13 Bn |
| Mar 31, 2023 | 6.82 Bn |
| Dec 31, 2022 | 8.80 Bn |
| Sep 30, 2022 | 9.38 Bn |
| Jun 30, 2022 | 7.57 Bn |
| Mar 31, 2022 | 5.44 Bn |
| Dec 31, 2021 | 5.40 Bn |
| Sep 30, 2021 | 4.35 Bn |
Meta Platforms Capital Expenditures 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=capital-expenditures&ticker=META&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();