Meta Platforms (META) Price to Sales (2012 - 2026)
Meta Platforms' (META) quarterly Price to Sales came in at 23.61 in Q2 2026, down 39.6% year-over-year from 39.08 in Q2 2025, and down 8.46% quarter-over-quarter from 25.79 in Q1 2026.
Meta Platforms (META) Price to Sales (2012 - 2026) Analysis & Trends
Meta Platforms (META) has reported Price to Sales for 15 consecutive years, with 23.61 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Sales fell 39.6% year-over-year to 23.61 in Q2 2026; TTM through Jun 2026 was 6.29, a 39.45% decrease from a year earlier, with the FY2025 full-year figure at 8.31, down 7.86% from the prior year.
- Price to Sales was 23.61 for Q2 2026 at Meta Platforms, down from 25.79 in the prior quarter.
- Over five years, Price to Sales peaked at 39.08 in Q2 2025 and troughed at 9.78 in Q4 2022.
- A 5-year average of 25.91 and a median of 24.7 in 2026 frame the typical range for Price to Sales.
- Across the five-year window, Price to Sales plunged 64.28% in 2022 and soared 131.08% in 2023, its largest moves.
- Over 5 years, Price to Sales stood at 9.78 in 2022, then soared by 131.08% to 22.6 in 2023, then jumped by 35.68% to 30.66 in 2024, then declined by 9.07% to 27.88 in 2025, then decreased by 15.34% to 23.61 in 2026.
- The last three Price to Sales figures came in at 23.61 (Q2 2026), 25.79 (Q1 2026), and 27.88 (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.29 |
| Mar 31, 2026 | 6.75 |
| Dec 31, 2025 | 8.31 |
| Sep 30, 2025 | 9.77 |
| Jun 30, 2025 | 10.39 |
| Mar 31, 2025 | 8.54 |
| Dec 31, 2024 | 9.02 |
| Sep 30, 2024 | 9.25 |
| Jun 30, 2024 | 8.53 |
| Mar 31, 2024 | 8.63 |
| Dec 31, 2023 | 6.72 |
| Sep 30, 2023 | 6.08 |
| Jun 30, 2023 | 6.13 |
| Mar 31, 2023 | 4.63 |
| Dec 31, 2022 | 2.70 |
| Sep 30, 2022 | 3.06 |
| Jun 30, 2022 | 3.64 |
| Mar 31, 2022 | 5.04 |
| Dec 31, 2021 | 7.82 |
| Sep 30, 2021 | 8.44 |
Meta Platforms Price to Sales 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-sales&ticker=META&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();