Wm Technology (MAPS) Enterprise Value (2019 - 2026)
Wm Technology's Enterprise Value was $77.79 million in Q2 2026, down 64.0% from $216.16 million a year earlier and down 36.8% from the prior quarter.
Wm Technology (MAPS) Enterprise Value (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wm Technology's Enterprise Value was -$93.58 million through Jun 30, 2026; for FY2025, it was $141.66 million, down 41.9% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $243.65 million in FY2024 (+25.2%), $194.68 million in FY2023 (-22.3%), $250.42 million in FY2022 (-70.6%) and $852.84 million in FY2021 (+787.4%).
- The Q2 2026 figure marks the lowest quarterly Enterprise Value since Q3 2020.
- Compared with a year earlier, Enterprise Value has declined for three straight quarters, with an average decline of 20.1% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q4 2021 (growth of 787.4%); the worst was Q3 2022 (a decline of 85.0%).
- Per Business Quant data, MAPS's Enterprise Value in the three quarters before Q2 2026 was $123.11 million (Q1 2026), $141.66 million (Q4 2025) and $260.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.79 Mn |
| Mar 31, 2026 | 123.11 Mn |
| Dec 31, 2025 | 141.66 Mn |
| Sep 30, 2025 | 260.82 Mn |
| Jun 30, 2025 | 216.16 Mn |
| Mar 31, 2025 | 249.69 Mn |
| Dec 31, 2024 | 243.65 Mn |
| Sep 30, 2024 | 218.43 Mn |
| Jun 30, 2024 | 243.26 Mn |
| Mar 31, 2024 | 286.25 Mn |
| Dec 31, 2023 | 194.68 Mn |
| Sep 30, 2023 | 292.00 Mn |
| Jun 30, 2023 | 225.06 Mn |
| Mar 31, 2023 | 225.73 Mn |
| Dec 31, 2022 | 250.42 Mn |
| Sep 30, 2022 | 288.48 Mn |
| Jun 30, 2022 | 537.65 Mn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 852.84 Mn |
| Sep 30, 2021 | 1.93 Bn |
Wm Technology Enterprise Value 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=enterprise-value&ticker=MAPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();