Match (MTCH) Cash from Operations (2009 - 2026)
Match's Cash from Operations was $369.84 million in Q2 2026, up 51.7% from $243.84 million a year earlier and up 90.3% from the prior quarter.
Match (MTCH) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Match's Cash from Operations was $1.21 billion through Jun 30, 2026, up 26.2% year-over-year; for FY2025, it was $1.08 billion, up 15.8% from FY2024.
- Cash from Operations has now increased for three consecutive years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $932.72 million in FY2024 (+4.0%), $896.79 million in FY2023 (+70.6%), $525.69 million in FY2022 (-42.4%) and $912.5 million in FY2021 (+15.7%).
- The Q2 2026 figure marks the highest quarterly Cash from Operations in data going back to Q3 2009.
- Compared with a year earlier, Cash from Operations has increased for five straight quarters, with growth averaging 17.6% over the last eight quarters.
- The best year-over-year quarter for Cash from Operations over five years was Q1 2024 (growth of 136.0%); the worst was Q1 2023 (a decline of 48.2%).
- Per Business Quant data, MTCH's Cash from Operations in the three quarters before Q2 2026 was $194.36 million (Q1 2026), $322.78 million (Q4 2025) and $320.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 39.07 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 31.86 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.74 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 3.38 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 658.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 2.86 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 3.72 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 3.77 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 948.49 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 369.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 369.84 Mn |
| Mar 31, 2026 | 194.36 Mn |
| Dec 31, 2025 | 322.78 Mn |
| Sep 30, 2025 | 320.64 Mn |
| Jun 30, 2025 | 243.84 Mn |
| Mar 31, 2025 | 193.12 Mn |
| Dec 31, 2024 | 254.71 Mn |
| Sep 30, 2024 | 264.94 Mn |
| Jun 30, 2024 | 128.97 Mn |
| Mar 31, 2024 | 284.10 Mn |
| Dec 31, 2023 | 276.12 Mn |
| Sep 30, 2023 | 290.81 Mn |
| Jun 30, 2023 | 209.48 Mn |
| Mar 31, 2023 | 120.39 Mn |
| Dec 31, 2022 | 225.24 Mn |
| Sep 30, 2022 | 280.49 Mn |
| Jun 30, 2022 | -212.55 Mn |
| Mar 31, 2022 | 232.52 Mn |
| Dec 31, 2021 | 245.57 Mn |
| Sep 30, 2021 | 316.11 Mn |
Match Cash from Operations 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-from-operations&ticker=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "MTCH", "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-from-operations&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();