Meta Platforms (META) EBITDA (2011 - 2026)
Meta Platforms (META) recorded EBITDA of $25.13 billion in Q2 2026, up 1.4% from $24.78 billion a year earlier but down 13.0% from the prior quarter.
Meta Platforms (META) EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Meta Platforms' EBITDA came in at $109.66 billion as of Jun 30, 2026, up 14.9% year-over-year; for FY2025, it was $101.89 billion, up 20.0% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $84.88 billion in FY2024 (+46.5%), $57.93 billion in FY2023 (+53.9%), $37.63 billion in FY2022 (-31.2%) and $54.72 billion in FY2021 (+38.4%).
- Quarterly EBITDA has ranged from $7.84 billion in Q3 2022 to $30.16 billion in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for 13 consecutive quarters, with growth averaging 24.2% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 122.9% in Q4 2023, against a decline of 39.9% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.87 billion (Q1 2026), $30.16 billion (Q4 2025) and $25.5 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 8.60 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 | 495.00 Mn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | 2.63 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 | 819.47 Mn |
| 10 | Airbnb | 97.86 Bn | 51.09 Bn | 2.98 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.13 Bn |
| Mar 31, 2026 | 28.87 Bn |
| Dec 31, 2025 | 30.16 Bn |
| Sep 30, 2025 | 25.50 Bn |
| Jun 30, 2025 | 24.78 Bn |
| Mar 31, 2025 | 21.46 Bn |
| Dec 31, 2024 | 27.82 Bn |
| Sep 30, 2024 | 21.38 Bn |
| Jun 30, 2024 | 18.48 Bn |
| Mar 31, 2024 | 17.19 Bn |
| Dec 31, 2023 | 19.56 Bn |
| Sep 30, 2023 | 16.61 Bn |
| Jun 30, 2023 | 12.02 Bn |
| Mar 31, 2023 | 9.75 Bn |
| Dec 31, 2022 | 8.78 Bn |
| Sep 30, 2022 | 7.84 Bn |
| Jun 30, 2022 | 10.34 Bn |
| Mar 31, 2022 | 10.68 Bn |
| Dec 31, 2021 | 14.60 Bn |
| Sep 30, 2021 | 12.42 Bn |
Meta Platforms EBITDA 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=ebitda&ticker=META&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();