Match (MTCH) Cash & Equivalents (2009 - 2026)
Match's Cash & Equivalents was $580.58 million in Q2 2026, up 73.2% from $335.24 million a year earlier but down 43.1% from the prior quarter.
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Analysis
Match (MTCH) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Match came in at $1.03 billion, up 6.4% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $965.99 million in FY2024 (+12.0%), $862.44 million in FY2023 (+50.7%), $572.4 million in FY2022 (-29.8%) and $815.38 million in FY2021 (+10.3%).
- Quarterly Cash & Equivalents has moved between $335.24 million (Q2 2025) and $1.05 billion (Q3 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 21.2% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2026 (growth of 149.2%); the worst was Q2 2025 (a decline of 60.0%).
- Per Business Quant data, MTCH's Cash & Equivalents in the three quarters before Q2 2026 was $1.02 billion (Q1 2026), $1.03 billion (Q4 2025) and $1.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 6.78 Bn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 580.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 580.58 Mn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 335.24 Mn |
| Mar 31, 2025 | 409.42 Mn |
| Dec 31, 2024 | 965.99 Mn |
| Sep 30, 2024 | 855.53 Mn |
| Jun 30, 2024 | 837.79 Mn |
| Mar 31, 2024 | 914.93 Mn |
| Dec 31, 2023 | 862.44 Mn |
| Sep 30, 2023 | 706.88 Mn |
| Jun 30, 2023 | 732.57 Mn |
| Mar 31, 2023 | 569.88 Mn |
| Dec 31, 2022 | 572.40 Mn |
| Sep 30, 2022 | 390.64 Mn |
| Jun 30, 2022 | 463.69 Mn |
| Mar 31, 2022 | 912.43 Mn |
| Dec 31, 2021 | 815.38 Mn |
| Sep 30, 2021 | 511.31 Mn |
API Access
Match 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=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();