Meta Platforms (META) Cash & Equivalents (2011 - 2026)
Meta Platforms (META) posted Cash & Equivalents of $11.22 billion for Q3 2026, up 10.2% from $10.19 billion a year earlier but down 27.4% from the prior quarter.
Meta Platforms (META) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Meta Platforms' Cash & Equivalents came in at $35.87 billion, down 18.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In prior years, Meta Platforms' Cash & Equivalents was $43.89 billion in FY2024 (+4.8%), $41.86 billion in FY2023 (+185.1%), $14.68 billion in FY2022 (-11.6%) and $16.6 billion in FY2021 (-5.5%).
- Quarterly Cash & Equivalents has run from a low of $10.19 billion in Q3 2025 to a high of $43.89 billion in Q4 2024 over five years.
- On a year-over-year basis, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 17.9%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2023, with growth of 185.1%; the weakest was Q3 2025, with a decline of 76.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $15.46 billion (Q2 2026), $23.43 billion (Q1 2026) and $35.87 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,477.98 Bn | 3,212.88 Bn | 76.16 Bn | 56.33 Bn |
| 2 | Meta Platforms | 1,576.05 Bn | 1,240.57 Bn | 51.23 Bn | 11.22 Bn |
| 3 | Netflix | 263.84 Bn | 225.14 Bn | 6.80 Bn | 8.19 Bn |
| 4 | Alibaba Group Holding | 253.36 Bn | 67.00 Bn | 15.16 Bn | 21.06 Bn |
| 5 | Shopify | 191.79 Bn | 170.60 Bn | 1.78 Bn | 1.87 Bn |
| 6 | Uber Technologies | 140.63 Bn | 111.44 Bn | 6.42 Bn | 9.56 Bn |
| 7 | AppLovin | 131.14 Bn | 119.67 Bn | 1.94 Bn | 3.17 Bn |
| 8 | Spotify Technology | 124.42 Bn | 81.34 Bn | 1.89 Bn | 6.84 Bn |
| 9 | Booking Holdings | 122.75 Bn | 56.49 Bn | - | 15.81 Bn |
| 10 | PDD Holdings | 116.54 Bn | -127.51 Bn | 9.48 Bn | 19.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.22 Bn |
| Jun 30, 2026 | 15.46 Bn |
| Mar 31, 2026 | 23.43 Bn |
| Dec 31, 2025 | 35.87 Bn |
| Sep 30, 2025 | 10.19 Bn |
| Jun 30, 2025 | 12.01 Bn |
| Mar 31, 2025 | 28.75 Bn |
| Dec 31, 2024 | 43.89 Bn |
| Sep 30, 2024 | 43.85 Bn |
| Jun 30, 2024 | 32.05 Bn |
| Mar 31, 2024 | 32.31 Bn |
| Dec 31, 2023 | 41.86 Bn |
| Sep 30, 2023 | 36.89 Bn |
| Jun 30, 2023 | 28.79 Bn |
| Mar 31, 2023 | 11.55 Bn |
| Dec 31, 2022 | 14.68 Bn |
| Sep 30, 2022 | 14.31 Bn |
| Jun 30, 2022 | 12.68 Bn |
| Mar 31, 2022 | 14.89 Bn |
| Dec 31, 2021 | 16.60 Bn |
Meta Platforms Cash & Equivalents 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=cash-and-equivalents&ticker=META&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();