Match (MTCH) Enterprise Value (2009 - 2026)
Match's Enterprise Value was $8.16 billion in Q2 2026, up 14.5% from $7.13 billion a year earlier and up 32.5% from the prior quarter.
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Analysis
Match (MTCH) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Match's Enterprise Value was $5.05 billion through Jun 30, 2026, up 3.5% year-over-year; for FY2025, it was $6.48 billion, down 10.7% from FY2024.
- Enterprise Value has now declined for five consecutive years, with a five-year compound annual growth rate of -30.4% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $7.25 billion in FY2024 (-18.9%), $8.95 billion in FY2023 (-18.8%), $11.02 billion in FY2022 (-69.9%) and $36.67 billion in FY2021 (-7.6%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value since Q3 2024.
- Compared with a year earlier, Enterprise Value was higher in two of the last eight quarters, with an average decline of 9.2%.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2021 (growth of 48.1%); the worst was Q4 2022 (a decline of 69.9%).
- Per Business Quant data, MTCH's Enterprise Value in the three quarters before Q2 2026 was $6.16 billion (Q1 2026), $6.48 billion (Q4 2025) and $7.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,124.47 Bn | 3,882.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,753.35 Bn | 1,455.87 Bn | 49.47 Bn |
| 3 | Netflix | 287.05 Bn | 247.25 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.29 Bn | 66.07 Bn | 15.11 Bn |
| 5 | Shopify | 224.82 Bn | 202.01 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.16 Bn | 111.96 Bn | 6.38 Bn |
| 7 | Booking Holdings | 126.16 Bn | 59.21 Bn | - |
| 8 | PDD Holdings | 113.75 Bn | -130.03 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.11 Bn | 65.61 Bn | 1.86 Bn |
| 10 | Match | 10.76 Bn | 7.06 Bn | 648.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.16 Bn |
| Mar 31, 2026 | 6.16 Bn |
| Dec 31, 2025 | 6.48 Bn |
| Sep 30, 2025 | 7.39 Bn |
| Jun 30, 2025 | 7.13 Bn |
| Mar 31, 2025 | 7.34 Bn |
| Dec 31, 2024 | 7.25 Bn |
| Sep 30, 2024 | 8.75 Bn |
| Jun 30, 2024 | 7.06 Bn |
| Mar 31, 2024 | 8.71 Bn |
| Dec 31, 2023 | 8.95 Bn |
| Sep 30, 2023 | 9.93 Bn |
| Jun 30, 2023 | 10.89 Bn |
| Mar 31, 2023 | 10.11 Bn |
| Dec 31, 2022 | 11.02 Bn |
| Sep 30, 2022 | 12.94 Bn |
| Jun 30, 2022 | 19.26 Bn |
| Mar 31, 2022 | 30.13 Bn |
| Dec 31, 2021 | 36.67 Bn |
| Sep 30, 2021 | 43.01 Bn |
API Access
Match Enterprise Value 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=enterprise-value&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();