Match (MTCH) Return on Capital Employed [ROCE] (2010 - 2026)
Match (MTCH) reported Return on Capital Employed [ROCE] of 26.93% for Q2 2026, down 1.93 percentage points from 28.86% a year earlier but up 0.39 percentage points from the prior quarter.
Match (MTCH) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Match posted Return on Capital Employed [ROCE] of 25.24%, up 4.33 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +10.92 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 20.91% in FY2024 (-3.13 pp), 24.04% in FY2023 (+11.38 pp), 12.66% in FY2022 (-16.84 pp) and 29.50% in FY2021 (+15.18 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 13.88% in Q1 2023 and a high of 28.86% in Q2 2025.
- Year over year, Return on Capital Employed [ROCE] gained in five of the last eight quarters, with an average year-over-year change of +1.76 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2023 (a gain of 9.09 percentage points); the low point was Q3 2021 (a drop of 14.22 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 26.54% (Q1 2026), 24.96% (Q4 2025) and 25.99% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn | 21.49% |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn | 23.74% |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn | 33.64% |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn | 2.13% |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn | 14.37% |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn | 13.97% |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - | 121.68% |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn | 20.20% |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn | 22.53% |
| 10 | Match | 10.63 Bn | 6.94 Bn | 648.84 Mn | 26.93% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.93% |
| Mar 31, 2026 | 26.54% |
| Dec 31, 2025 | 24.96% |
| Sep 30, 2025 | 25.99% |
| Jun 30, 2025 | 28.86% |
| Mar 31, 2025 | 22.13% |
| Dec 31, 2024 | 21.13% |
| Sep 30, 2024 | 22.24% |
| Jun 30, 2024 | 23.05% |
| Mar 31, 2024 | 22.95% |
| Dec 31, 2023 | 23.84% |
| Sep 30, 2023 | 20.50% |
| Jun 30, 2023 | 19.54% |
| Mar 31, 2023 | 13.88% |
| Dec 31, 2022 | 14.75% |
| Sep 30, 2022 | 18.55% |
| Jun 30, 2022 | 16.29% |
| Mar 31, 2022 | 21.87% |
| Dec 31, 2021 | 22.35% |
| Sep 30, 2021 | 21.26% |
Match Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();