Meta Platforms (META) EV to FCF (2012 - 2026)
Meta Platforms' (META) quarterly EV to FCF came in at 770.33 in Q2 2026, up 284.03% year-over-year from 200.59 in Q2 2025, and up 643.37% quarter-over-quarter from 103.63 in Q1 2026.
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Analysis
Meta Platforms (META) EV to FCF (2012 - 2026) Analysis & Trends
Meta Platforms (META) has reported EV to FCF for 15 consecutive years, with 770.33 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to FCF rose 284.03% year-over-year to 770.33 in Q2 2026; TTM through Jun 2026 was 32.82, a 9.08% decrease from a year earlier, with the FY2025 full-year figure at 34.45, up 32.5% from the prior year.
- EV to FCF was 770.33 for Q2 2026 at Meta Platforms, up from 103.63 in the prior quarter.
- Over five years, EV to FCF peaked at 1008.87 in Q3 2022 and troughed at 47.93 in Q4 2022.
- A 5-year average of 184.26 and a median of 97.5 in 2026 frame the typical range for EV to FCF.
- Across the five-year window, EV to FCF surged 1004.74% in 2022 and plunged 94.93% in 2023, its largest moves.
- Over 5 years, EV to FCF stood at 47.93 in 2022, then surged by 48.56% to 71.21 in 2023, then jumped by 45.57% to 103.65 in 2024, then increased by 3.33% to 107.1 in 2025, then jumped by 619.25% to 770.33 in 2026.
- The last three EV to FCF figures came in at 770.33 (Q2 2026), 103.63 (Q1 2026), and 107.1 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,144.46 Bn | 3,901.99 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,981.30 Bn | 1,683.82 Bn | 49.47 Bn |
| 3 | Netflix | 296.22 Bn | 256.42 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 254.92 Bn | 72.79 Bn | 15.11 Bn |
| 5 | Shopify | 184.25 Bn | 161.43 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.00 Bn | 113.98 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.19 Bn | 56.24 Bn | - |
| 8 | PDD Holdings | 110.41 Bn | -141.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 104.89 Bn | 62.12 Bn | 1.86 Bn |
| 10 | AppLovin | 104.19 Bn | 94.23 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.82 |
| Mar 31, 2026 | 28.41 |
| Dec 31, 2025 | 34.45 |
| Sep 30, 2025 | 40.30 |
| Jun 30, 2025 | 36.10 |
| Mar 31, 2025 | 26.46 |
| Dec 31, 2024 | 26.00 |
| Sep 30, 2024 | 26.26 |
| Jun 30, 2024 | 24.50 |
| Mar 31, 2024 | 23.60 |
| Dec 31, 2023 | 19.09 |
| Sep 30, 2023 | 18.72 |
| Jun 30, 2023 | 28.09 |
| Mar 31, 2023 | 28.40 |
| Dec 31, 2022 | 14.20 |
| Sep 30, 2022 | 12.17 |
| Jun 30, 2022 | 11.05 |
| Mar 31, 2022 | 14.10 |
| Dec 31, 2021 | 22.41 |
| Sep 30, 2021 | 24.95 |
API Access
Meta Platforms EV to FCF 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=ev-to-fcf&ticker=META&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();