Match (MTCH) Revenue (2009 - 2026)
Match's Revenue came in at $853.11 million for Q2 2026, down 1.2% from $863.74 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Match (MTCH) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Match reported Revenue of $3.51 billion, up 1.7% year-over-year; for FY2025, it came in at $3.49 billion, up 0.2% from FY2024.
- Revenue has increased in each of the last seven years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Going back by year, Revenue was $3.48 billion in FY2024 (+3.4%), $3.36 billion in FY2023 (+5.5%), $3.19 billion in FY2022 (+6.9%) and $2.98 billion in FY2021 (+24.8%).
- The Q2 2026 figure represents the lowest quarterly Revenue since Q1 2025.
- Year-over-year, Revenue increased in four of the last eight quarters, with growth averaging 0.6%.
- The fastest year-over-year change in Revenue over five years came in Q3 2021 (growth of 25.3%), and the weakest in Q1 2025 (a decline of 3.3%).
- Business Quant data shows MTCH's Revenue at $863.93 million (Q1 2026), $878.01 million (Q4 2025) and $914.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 16.56 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 5.55 Bn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 853.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 853.11 Mn |
| Mar 31, 2026 | 863.93 Mn |
| Dec 31, 2025 | 878.01 Mn |
| Sep 30, 2025 | 914.28 Mn |
| Jun 30, 2025 | 863.74 Mn |
| Mar 31, 2025 | 831.18 Mn |
| Dec 31, 2024 | 860.18 Mn |
| Sep 30, 2024 | 895.48 Mn |
| Jun 30, 2024 | 864.07 Mn |
| Mar 31, 2024 | 859.65 Mn |
| Dec 31, 2023 | 866.23 Mn |
| Sep 30, 2023 | 881.60 Mn |
| Jun 30, 2023 | 829.55 Mn |
| Mar 31, 2023 | 787.12 Mn |
| Dec 31, 2022 | 786.15 Mn |
| Sep 30, 2022 | 809.55 Mn |
| Jun 30, 2022 | 794.51 Mn |
| Mar 31, 2022 | 798.63 Mn |
| Dec 31, 2021 | 806.07 Mn |
| Sep 30, 2021 | 801.84 Mn |
API Access
Match Revenue 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=revenue&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();