Match (MTCH) EBT (2009 - 2026)
Match's EBT came in at $214.65 million for Q2 2026, up 36.1% from $157.71 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Match (MTCH) EBT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Match reported EBT of $863.52 million, up 28.3% year-over-year; for FY2025, it was $746 million, up 6.0% from FY2024.
- EBT carries a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, EBT was $704.06 million in FY2024 (-9.4%), $776.78 million in FY2023 (+105.8%), $377.49 million in FY2022 (+47.4%) and $256.15 million in FY2021 (-59.4%).
- The five-year range for quarterly EBT is -$226.82 million (Q4 2021) to $254.71 million (Q4 2025).
- Year-over-year, EBT has increased for four consecutive quarters, with growth averaging 8.8% over the last eight quarters.
- The fastest year-over-year change in EBT over five years came in Q4 2023 (growth of 230.6%), and the weakest in Q3 2024 (a decline of 15.8%).
- Business Quant data shows MTCH's EBT at $200.53 million (Q1 2026), $254.71 million (Q4 2025) and $193.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 138.75 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 18.76 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 4.07 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 3.29 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 3.28 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 2.56 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 6.06 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 836.90 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 214.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 214.65 Mn |
| Mar 31, 2026 | 200.53 Mn |
| Dec 31, 2025 | 254.71 Mn |
| Sep 30, 2025 | 193.64 Mn |
| Jun 30, 2025 | 157.71 Mn |
| Mar 31, 2025 | 139.95 Mn |
| Dec 31, 2024 | 197.54 Mn |
| Sep 30, 2024 | 177.64 Mn |
| Jun 30, 2024 | 175.01 Mn |
| Mar 31, 2024 | 153.86 Mn |
| Dec 31, 2023 | 224.88 Mn |
| Sep 30, 2023 | 211.08 Mn |
| Jun 30, 2023 | 178.49 Mn |
| Mar 31, 2023 | 162.33 Mn |
| Dec 31, 2022 | 68.02 Mn |
| Sep 30, 2022 | 176.15 Mn |
| Jun 30, 2022 | -40.41 Mn |
| Mar 31, 2022 | 173.74 Mn |
| Dec 31, 2021 | -226.82 Mn |
| Sep 30, 2021 | 149.53 Mn |
API Access
Match EBT 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=ebt&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();