Match (MTCH) Return on Assets [ROA] (2010 - 2026)
Match's Return on Assets [ROA] was 16.77% in Q2 2026, up 2.90 percentage points from 13.87% a year earlier and up 1.82 percentage points from the prior quarter.
Match (MTCH) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Match came in at 13.74%, up 1.46 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of +9.86 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was 12.29% in FY2024 (-2.71 pp), 14.99% in FY2023 (+7.21 pp), 7.79% in FY2022 (+0.97 pp) and 6.82% in FY2021 (+2.94 pp).
- The Q2 2026 figure marks the highest quarterly Return on Assets [ROA] since Q1 2021.
- Compared with a year earlier, Return on Assets [ROA] has increased for three straight quarters, with an average year-over-year change of +0.32 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q3 2023 (a gain of 9.11 percentage points); the worst was Q2 2022 (a drop of 13.39 percentage points).
- Per Business Quant data, MTCH's Return on Assets [ROA] in the three quarters before Q2 2026 was 14.95% (Q1 2026), 13.63% (Q4 2025) and 13.37% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 30.04% |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 16.11% |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 22.85% |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 3.56% |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 13.49% |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 15.38% |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 25.12% |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 14.15% |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 25.34% |
| 10 | Match | 10.80 Bn | 7.10 Bn | 648.84 Mn | 16.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.77% |
| Mar 31, 2026 | 14.95% |
| Dec 31, 2025 | 13.63% |
| Sep 30, 2025 | 13.37% |
| Jun 30, 2025 | 13.87% |
| Mar 31, 2025 | 13.06% |
| Dec 31, 2024 | 12.40% |
| Sep 30, 2024 | 14.16% |
| Jun 30, 2024 | 14.82% |
| Mar 31, 2024 | 14.68% |
| Dec 31, 2023 | 14.88% |
| Sep 30, 2023 | 11.77% |
| Jun 30, 2023 | 11.00% |
| Mar 31, 2023 | 7.15% |
| Dec 31, 2022 | 8.89% |
| Sep 30, 2022 | 2.66% |
| Jun 30, 2022 | 2.39% |
| Mar 31, 2022 | 5.61% |
| Dec 31, 2021 | 5.56% |
| Sep 30, 2021 | 12.73% |
Match Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();