Wm Technology (MAPS) Non-Current Assets (2019 - 2026)
Wm Technology (MAPS) recorded Non-Current Assets of $105.4 million in Q2 2026, down 4.8% from $110.66 million a year earlier and down 0.4% from the prior quarter.
Wm Technology (MAPS) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Wm Technology reported Non-Current Assets of $105.75 million, down 5.9% from FY2024.
- Annual Non-Current Assets has declined for four straight years, though with a five-year compound annual growth rate of 39.9% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $112.35 million in FY2024 (-2.8%), $115.54 million in FY2023 (-19.8%), $144.05 million in FY2022 (-45.9%) and $266.21 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Non-Current Assets since Q4 2020.
- On a year-over-year basis, Non-Current Assets has declined for 15 consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 59.2% in Q2 2022, against a decline of 60.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $105.87 million (Q1 2026), $105.75 million (Q4 2025) and $111.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 181.70 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 15.71 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.88 Bn |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn | 105.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.40 Mn |
| Mar 31, 2026 | 105.87 Mn |
| Dec 31, 2025 | 105.75 Mn |
| Sep 30, 2025 | 111.33 Mn |
| Jun 30, 2025 | 110.66 Mn |
| Mar 31, 2025 | 111.81 Mn |
| Dec 31, 2024 | 112.35 Mn |
| Sep 30, 2024 | 114.21 Mn |
| Jun 30, 2024 | 114.12 Mn |
| Mar 31, 2024 | 115.59 Mn |
| Dec 31, 2023 | 115.54 Mn |
| Sep 30, 2023 | 131.77 Mn |
| Jun 30, 2023 | 141.48 Mn |
| Mar 31, 2023 | 142.46 Mn |
| Dec 31, 2022 | 144.05 Mn |
| Sep 30, 2022 | 331.92 Mn |
| Jun 30, 2022 | 327.43 Mn |
| Mar 31, 2022 | 313.66 Mn |
| Dec 31, 2021 | 266.21 Mn |
| Sep 30, 2021 | 256.57 Mn |
Wm Technology Non-Current Assets 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=non-current-assets&ticker=MAPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();