Match (MTCH) EBIT (2009 - 2026)
Match (MTCH) posted EBIT of $245.45 million for Q2 2026, up 26.6% from $193.92 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Match (MTCH) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Match was $987.88 million, up 23.4% year-over-year; for FY2025, it came in at $872.53 million, up 6.0% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior years, Match's EBIT was $823.31 million in FY2024 (-10.2%), $916.9 million in FY2023 (+78.0%), $515.01 million in FY2022 (-39.5%) and $851.68 million in FY2021 (+14.2%).
- Quarterly EBIT has run from a low of -$10.08 million in Q2 2022 to a high of $284.68 million in Q4 2025 over five years.
- On a year-over-year basis, EBIT has increased in each of the last four quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2023, with growth of 144.1%; the weakest was Q4 2022, with a decline of 54.0%.
- According to Business Quant data, EBIT for the three prior quarters was $236.42 million (Q1 2026), $284.68 million (Q4 2025) and $221.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,183.83 Bn | 3,941.36 Bn | 73.85 Bn | 40.77 Bn |
| 2 | Meta Platforms | 1,768.17 Bn | 1,470.69 Bn | 49.47 Bn | 18.78 Bn |
| 3 | Netflix | 294.03 Bn | 254.22 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 252.76 Bn | 66.53 Bn | 15.11 Bn | 2.23 Bn |
| 5 | Shopify | 225.60 Bn | 202.78 Bn | 1.71 Bn | 488.00 Mn |
| 6 | Uber Technologies | 141.23 Bn | 113.03 Bn | 6.38 Bn | 1.89 Bn |
| 7 | Booking Holdings | 126.05 Bn | 59.10 Bn | - | 2.50 Bn |
| 8 | PDD Holdings | 113.49 Bn | -130.28 Bn | 9.45 Bn | 4.08 Bn |
| 9 | Spotify Technology | 109.60 Bn | 67.10 Bn | 1.86 Bn | 761.35 Mn |
| 10 | Match | 10.51 Bn | 6.82 Bn | 648.84 Mn | 245.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 245.45 Mn |
| Mar 31, 2026 | 236.42 Mn |
| Dec 31, 2025 | 284.68 Mn |
| Sep 30, 2025 | 221.33 Mn |
| Jun 30, 2025 | 193.92 Mn |
| Mar 31, 2025 | 172.59 Mn |
| Dec 31, 2024 | 223.39 Mn |
| Sep 30, 2024 | 210.66 Mn |
| Jun 30, 2024 | 204.53 Mn |
| Mar 31, 2024 | 184.74 Mn |
| Dec 31, 2023 | 260.25 Mn |
| Sep 30, 2023 | 243.56 Mn |
| Jun 30, 2023 | 214.80 Mn |
| Mar 31, 2023 | 198.29 Mn |
| Dec 31, 2022 | 106.63 Mn |
| Sep 30, 2022 | 210.64 Mn |
| Jun 30, 2022 | -10.08 Mn |
| Mar 31, 2022 | 207.82 Mn |
| Dec 31, 2021 | 231.92 Mn |
| Sep 30, 2021 | 220.59 Mn |
API Access
Match EBIT 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=ebit&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();