Wm Technology (MAPS) Return on Capital Employed [ROCE] (2020 - 2026)
Wm Technology (MAPS) recorded Return on Capital Employed [ROCE] of -0.83% in Q2 2026, down 10.12 percentage points from 9.29% a year earlier but up 0.30 percentage points from the prior quarter.
Wm Technology (MAPS) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Wm Technology reported Return on Capital Employed [ROCE] of 0.51%, down 9.74 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -31.12 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 10.25% in FY2024 (+22.61 pp), -12.36% in FY2023 (+17.17 pp), -29.53% in FY2022 (-24.77 pp) and -4.76% in FY2021 (-36.40 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -38.36% in Q1 2023 to 10.02% in Q4 2024 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for three consecutive quarters, with an average year-over-year change of +6.85 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 30.63 percentage points in Q1 2024, against a drop of 38.56 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -1.12% (Q1 2026), 0.43% (Q4 2025) and 6.97% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 21.49% |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 23.74% |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 30.16% |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.77% |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 14.37% |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 13.97% |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 121.68% |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 22.53% |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 19.81% |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn | -0.83% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.83% |
| Mar 31, 2026 | -1.12% |
| Dec 31, 2025 | 0.43% |
| Sep 30, 2025 | 6.97% |
| Jun 30, 2025 | 9.29% |
| Mar 31, 2025 | 9.06% |
| Dec 31, 2024 | 10.02% |
| Sep 30, 2024 | -1.64% |
| Jun 30, 2024 | -9.59% |
| Mar 31, 2024 | -7.73% |
| Dec 31, 2023 | -13.26% |
| Sep 30, 2023 | -18.75% |
| Jun 30, 2023 | -27.19% |
| Mar 31, 2023 | -38.36% |
| Dec 31, 2022 | -27.83% |
| Sep 30, 2022 | -14.06% |
| Jun 30, 2022 | -7.67% |
| Mar 31, 2022 | -8.72% |
| Dec 31, 2021 | -2.51% |
| Sep 30, 2021 | 2.58% |
Wm Technology 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=MAPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MAPS", "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=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();