Meta Platforms (META) EV to CFO (2012 - 2026)
Meta Platforms' (META) quarterly EV to CFO came in at 42.21 in Q2 2026, down 40.38% year-over-year from 70.81 in Q2 2025, and down 0.77% quarter-over-quarter from 42.54 in Q1 2026.
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Analysis
Meta Platforms (META) EV to CFO (2012 - 2026) Analysis & Trends
Meta Platforms (META) has reported EV to CFO for 15 consecutive years, with 42.21 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to CFO fell 40.38% year-over-year to 42.21 in Q2 2026; TTM through Jun 2026 was 10.32, a 41.66% decrease from a year earlier, with the FY2025 full-year figure at 13.72, down 10.89% from the prior year.
- EV to CFO was 42.21 for Q2 2026 at Meta Platforms, down from 42.54 in the prior quarter.
- Over five years, EV to CFO peaked at 70.81 in Q2 2025 and troughed at 18.87 in Q4 2022.
- A 5-year average of 45.83 and a median of 42.94 in 2023 frame the typical range for EV to CFO.
- Across the five-year window, EV to CFO plunged 60.91% in 2022 and jumped 129.7% in 2023, its largest moves.
- Over 5 years, EV to CFO stood at 18.87 in 2022, then surged by 129.7% to 43.35 in 2023, then gained by 15.88% to 50.23 in 2024, then fell by 12.68% to 43.86 in 2025, then slipped by 3.76% to 42.21 in 2026.
- The last three EV to CFO figures came in at 42.21 (Q2 2026), 42.54 (Q1 2026), and 43.86 (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 | 10.32 |
| Mar 31, 2026 | 11.06 |
| Dec 31, 2025 | 13.72 |
| Sep 30, 2025 | 16.80 |
| Jun 30, 2025 | 17.69 |
| Mar 31, 2025 | 14.40 |
| Dec 31, 2024 | 15.39 |
| Sep 30, 2024 | 16.60 |
| Jun 30, 2024 | 15.55 |
| Mar 31, 2024 | 15.37 |
| Dec 31, 2023 | 11.83 |
| Sep 30, 2023 | 10.73 |
| Jun 30, 2023 | 12.34 |
| Mar 31, 2023 | 10.05 |
| Dec 31, 2022 | 5.43 |
| Sep 30, 2022 | 5.91 |
| Jun 30, 2022 | 6.75 |
| Mar 31, 2022 | 9.40 |
| Dec 31, 2021 | 15.15 |
| Sep 30, 2021 | 16.60 |
API Access
Meta Platforms EV to CFO 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-cfo&ticker=META&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();