Wm Technology (MAPS) Intangibles (2020 - 2026)
Wm Technology's Intangibles was $1.24 million in Q2 2026, down 31.0% from $1.79 million a year earlier and down 9.8% from the prior quarter.
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Analysis
Wm Technology (MAPS) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Wm Technology came in at $1.51 million, down 22.6% from FY2024.
- Intangibles has now declined for three consecutive years, with a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- In earlier years, Intangibles was $1.95 million in FY2024 (-22.1%), $2.51 million in FY2023 (-75.8%), $10.34 million in FY2022 (+24.6%) and $8.3 million in FY2021 (+84.2%).
- The Q2 2026 figure marks the lowest quarterly Intangibles in data going back to Q4 2020.
- Compared with a year earlier, Intangibles has declined for 14 straight quarters, with an average decline of 23.2% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q2 2022 (growth of 177.7%); the worst was Q2 2024 (a decline of 75.9%).
- Per Business Quant data, MAPS's Intangibles in the three quarters before Q2 2026 was $1.37 million (Q1 2026), $1.51 million (Q4 2025) and $1.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 9.11 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 | 2.46 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 27.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.13 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 852.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 2.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 355.66 Mn |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn | 1.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Mn |
| Mar 31, 2026 | 1.37 Mn |
| Dec 31, 2025 | 1.51 Mn |
| Sep 30, 2025 | 1.65 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 1.81 Mn |
| Dec 31, 2024 | 1.95 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 2.23 Mn |
| Mar 31, 2024 | 2.37 Mn |
| Dec 31, 2023 | 2.51 Mn |
| Sep 30, 2023 | 2.65 Mn |
| Jun 30, 2023 | 9.24 Mn |
| Mar 31, 2023 | 9.78 Mn |
| Dec 31, 2022 | 10.34 Mn |
| Sep 30, 2022 | 10.60 Mn |
| Jun 30, 2022 | 11.26 Mn |
| Mar 31, 2022 | 13.49 Mn |
| Dec 31, 2021 | 8.30 Mn |
| Sep 30, 2021 | 8.45 Mn |
API Access
Wm Technology Intangibles 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=intangibles&ticker=MAPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();