Match (MTCH) EBITDA (2009 - 2026)
Match (MTCH) recorded EBITDA of $269.31 million in Q2 2026, up 21.0% from $222.48 million a year earlier but down 5.3% from the prior quarter.
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Analysis
Match (MTCH) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Match's EBITDA came in at $1.1 billion as of Jun 30, 2026, up 15.0% year-over-year; for FY2025, it came in at $978.19 million, down 0.7% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $984.99 million in FY2024 (-4.0%), $1.03 billion in FY2023 (+11.0%), $924.86 million in FY2022 (+0.3%) and $921.64 million in FY2021 (+16.0%).
- Quarterly EBITDA has ranged from $204.8 million in Q1 2025 to $305.81 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 38.8% in Q1 2026, against a decline of 13.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $284.32 million (Q1 2026), $305.81 million (Q4 2025) and $245.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 8.60 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | - |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 795.06 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 269.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269.31 Mn |
| Mar 31, 2026 | 284.32 Mn |
| Dec 31, 2025 | 305.81 Mn |
| Sep 30, 2025 | 245.10 Mn |
| Jun 30, 2025 | 222.48 Mn |
| Mar 31, 2025 | 204.80 Mn |
| Dec 31, 2024 | 254.74 Mn |
| Sep 30, 2024 | 278.05 Mn |
| Jun 30, 2024 | 236.57 Mn |
| Mar 31, 2024 | 215.63 Mn |
| Dec 31, 2023 | 293.44 Mn |
| Sep 30, 2023 | 271.36 Mn |
| Jun 30, 2023 | 240.68 Mn |
| Mar 31, 2023 | 220.96 Mn |
| Dec 31, 2022 | 231.98 Mn |
| Sep 30, 2022 | 230.92 Mn |
| Jun 30, 2022 | 230.95 Mn |
| Mar 31, 2022 | 231.01 Mn |
| Dec 31, 2021 | 255.74 Mn |
| Sep 30, 2021 | 245.76 Mn |
API Access
Match EBITDA 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=ebitda&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();