Wm Technology (MAPS) EBITDA Margin (2020 - 2026)
Wm Technology (MAPS) posted EBITDA Margin of 13.08% for Q2 2026, up 1.21 percentage points from 11.88% a year earlier and up 5.60 percentage points from the prior quarter.
Wm Technology (MAPS) EBITDA Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Wm Technology was 6.76%, down 8.60 percentage points year-over-year; for FY2025, it came in at 8.11%, down 7.09 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -19.82 percentage points (FY2020 to FY2025).
- In prior years, Wm Technology's EBITDA Margin was 15.20% in FY2024 (+18.56 pp), -3.36% in FY2023 (+23.60 pp), -26.97% in FY2022 (-25.02 pp) and -1.94% in FY2021 (-29.87 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin since Q1 2025.
- On a year-over-year basis, EBITDA Margin increased in four of the last eight quarters, with an average year-over-year change of +3.54 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2024, with a gain of 38.36 percentage points; the weakest was Q3 2022, with a drop of 43.83 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 7.48% (Q1 2026), -5.25% (Q4 2025) and 11.92% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 39.96% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 41.33% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 34.18% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 13.82% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.69% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 35.76% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 79.37% |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn | 13.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.08% |
| Mar 31, 2026 | 7.48% |
| Dec 31, 2025 | -5.25% |
| Sep 30, 2025 | 11.92% |
| Jun 30, 2025 | 11.88% |
| Mar 31, 2025 | 13.38% |
| Dec 31, 2024 | 17.21% |
| Sep 30, 2024 | 18.73% |
| Jun 30, 2024 | 9.62% |
| Mar 31, 2024 | 15.09% |
| Dec 31, 2023 | -21.15% |
| Sep 30, 2023 | -4.61% |
| Jun 30, 2023 | 13.71% |
| Mar 31, 2023 | -2.11% |
| Dec 31, 2022 | -40.82% |
| Sep 30, 2022 | -33.92% |
| Jun 30, 2022 | -18.12% |
| Mar 31, 2022 | -17.95% |
| Dec 31, 2021 | -6.37% |
| Sep 30, 2021 | 9.91% |
Wm Technology EBITDA Margin 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=ebitda-margin&ticker=MAPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();