Wm Technology (MAPS) Total Non-Current Liabilities (2019 - 2026)
Wm Technology (MAPS) reported Total Non-Current Liabilities of $51.75 million for Q2 2026, down 13.6% from $59.87 million a year earlier but up 0.5% from the prior quarter.
Wm Technology (MAPS) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Wm Technology posted Total Non-Current Liabilities of $56.17 million, down 8.2% from FY2024.
- Total Non-Current Liabilities has declined for four consecutive years, though with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $61.21 million in FY2024 (-3.3%), $63.29 million in FY2023 (-23.0%), $82.17 million in FY2022 (-60.1%) and $205.74 million in FY2021 (+735.6%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $51.48 million in Q1 2026 and a high of $226.34 million in Q2 2022.
- Year over year, Total Non-Current Liabilities has now declined in each of the last four quarters, with an average decline of 5.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 735.6%); the low point was Q3 2023 (a decline of 72.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $51.48 million (Q1 2026), $56.17 million (Q4 2025) and $55.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn | 51.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.75 Mn |
| Mar 31, 2026 | 51.48 Mn |
| Dec 31, 2025 | 56.17 Mn |
| Sep 30, 2025 | 55.05 Mn |
| Jun 30, 2025 | 59.87 Mn |
| Mar 31, 2025 | 59.53 Mn |
| Dec 31, 2024 | 61.21 Mn |
| Sep 30, 2024 | 58.19 Mn |
| Jun 30, 2024 | 57.80 Mn |
| Mar 31, 2024 | 57.59 Mn |
| Dec 31, 2023 | 63.29 Mn |
| Sep 30, 2023 | 61.04 Mn |
| Jun 30, 2023 | 65.86 Mn |
| Mar 31, 2023 | 74.02 Mn |
| Dec 31, 2022 | 82.17 Mn |
| Sep 30, 2022 | 218.04 Mn |
| Jun 30, 2022 | 226.34 Mn |
| Mar 31, 2022 | 210.56 Mn |
| Dec 31, 2021 | 205.74 Mn |
| Sep 30, 2021 | 204.86 Mn |
Wm Technology Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MAPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();