Meta Platforms (META) Price to Earnings (2012 - 2026)
Meta Platforms' (META) quarterly Price to Earnings came in at 90.56 in Q2 2026, down 10.57% year-over-year from 101.27 in Q2 2025, and up 66.98% quarter-over-quarter from 54.24 in Q1 2026.
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Analysis
Meta Platforms (META) Price to Earnings (2012 - 2026) Analysis & Trends
Meta Platforms (META) has reported Price to Earnings for 15 consecutive years, with 90.56 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 10.57% year-over-year to 90.56 in Q2 2026; TTM through Jun 2026 was 21.08, a 18.84% decrease from a year earlier, with the FY2025 full-year figure at 27.62, up 16.1% from the prior year.
- Price to Earnings was 90.56 for Q2 2026 at Meta Platforms, up from 54.24 in the prior quarter.
- Over five years, Price to Earnings peaked at 683.42 in Q3 2025 and troughed at 54.24 in Q1 2026.
- A 5-year average of 114.73 and a median of 84.82 in 2022 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings soared 642.05% in 2025 and slumped 37.92% in 2026, its largest moves.
- Over 5 years, Price to Earnings stood at 67.61 in 2022, then declined by 4.34% to 64.67 in 2023, then grew by 10.1% to 71.2 in 2024, then climbed by 3.02% to 73.35 in 2025, then increased by 23.47% to 90.56 in 2026.
- The last three Price to Earnings figures came in at 90.56 (Q2 2026), 54.24 (Q1 2026), and 73.35 (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 | 21.08 |
| Mar 31, 2026 | 20.57 |
| Dec 31, 2025 | 27.62 |
| Sep 30, 2025 | 31.63 |
| Jun 30, 2025 | 25.97 |
| Mar 31, 2025 | 21.82 |
| Dec 31, 2024 | 23.79 |
| Sep 30, 2024 | 26.01 |
| Jun 30, 2024 | 24.83 |
| Mar 31, 2024 | 26.92 |
| Dec 31, 2023 | 23.19 |
| Sep 30, 2023 | 25.96 |
| Jun 30, 2023 | 32.75 |
| Mar 31, 2023 | 25.36 |
| Dec 31, 2022 | 13.56 |
| Sep 30, 2022 | 12.54 |
| Jun 30, 2022 | 12.93 |
| Mar 31, 2022 | 16.16 |
| Dec 31, 2021 | 23.42 |
| Sep 30, 2021 | 23.52 |
API Access
Meta Platforms Price to Earnings 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=price-to-earnings&ticker=META&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();