Match (MTCH) Return on Sales [ROS] (2009 - 2026)
Match (MTCH) posted Return on Sales [ROS] of 28.77% for Q2 2026, up 6.32 percentage points from 22.45% a year earlier and up 1.41 percentage points from the prior quarter.
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Analysis
Match (MTCH) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Match was 28.15%, up 4.95 percentage points year-over-year; for FY2025, it came in at 25.02%, up 1.36 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -6.16 percentage points (FY2020 to FY2025).
- In prior years, Match's Return on Sales [ROS] was 23.66% in FY2024 (-3.59 pp), 27.25% in FY2023 (+11.10 pp), 16.15% in FY2022 (-12.40 pp) and 28.55% in FY2021 (-2.64 pp).
- Quarterly Return on Sales [ROS] has run from a low of -1.27% in Q2 2022 to a high of 32.42% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +1.24 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 27.16 percentage points; the weakest was Q2 2022, with a drop of 30.93 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 27.37% (Q1 2026), 32.42% (Q4 2025) and 24.21% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,939.60 Bn | 3,697.12 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,653.27 Bn | 1,355.79 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 275.33 Bn | 236.63 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 236.23 Bn | 58.44 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 218.65 Bn | 195.83 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 140.84 Bn | 112.82 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 121.05 Bn | 54.10 Bn | - | 34.00% |
| 8 | Spotify Technology | 120.09 Bn | 77.01 Bn | 1.89 Bn | 13.52% |
| 9 | PDD Holdings | 112.69 Bn | -131.09 Bn | 9.45 Bn | 24.62% |
| 10 | Match | 10.56 Bn | 6.86 Bn | 648.84 Mn | 28.77% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.77% |
| Mar 31, 2026 | 27.37% |
| Dec 31, 2025 | 32.42% |
| Sep 30, 2025 | 24.21% |
| Jun 30, 2025 | 22.45% |
| Mar 31, 2025 | 20.76% |
| Dec 31, 2024 | 25.97% |
| Sep 30, 2024 | 23.52% |
| Jun 30, 2024 | 23.67% |
| Mar 31, 2024 | 21.49% |
| Dec 31, 2023 | 30.04% |
| Sep 30, 2023 | 27.63% |
| Jun 30, 2023 | 25.89% |
| Mar 31, 2023 | 25.19% |
| Dec 31, 2022 | 13.56% |
| Sep 30, 2022 | 26.02% |
| Jun 30, 2022 | -1.27% |
| Mar 31, 2022 | 26.02% |
| Dec 31, 2021 | 28.77% |
| Sep 30, 2021 | 27.51% |
API Access
Match Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();