Wm Technology (MAPS) Total Current Liabilities (2019 - 2026)
Wm Technology's Total Current Liabilities was $31.31 million in Q2 2026, down 2.8% from $32.2 million a year earlier but up 4.3% from the prior quarter.
Wm Technology (MAPS) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Wm Technology came in at $36.24 million, up 19.1% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $30.43 million in FY2024 (-9.7%), $33.72 million in FY2023 (-27.2%), $46.32 million in FY2022 (+22.5%) and $37.8 million in FY2021 (+62.6%).
- Quarterly Total Current Liabilities has moved between $27.78 million (Q3 2024) and $46.32 million (Q4 2022) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 2.3%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2022 (growth of 884.8%); the worst was Q2 2023 (a decline of 27.3%).
- Per Business Quant data, MAPS's Total Current Liabilities in the three quarters before Q2 2026 was $30.01 million (Q1 2026), $36.24 million (Q4 2025) and $32.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 126.11 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 56.38 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.13 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.01 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.46 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.87 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 21.07 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.35 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.25 Bn |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn | 31.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.31 Mn |
| Mar 31, 2026 | 30.01 Mn |
| Dec 31, 2025 | 36.24 Mn |
| Sep 30, 2025 | 32.09 Mn |
| Jun 30, 2025 | 32.20 Mn |
| Mar 31, 2025 | 32.15 Mn |
| Dec 31, 2024 | 30.43 Mn |
| Sep 30, 2024 | 27.78 Mn |
| Jun 30, 2024 | 30.33 Mn |
| Mar 31, 2024 | 30.00 Mn |
| Dec 31, 2023 | 33.72 Mn |
| Sep 30, 2023 | 31.09 Mn |
| Jun 30, 2023 | 32.60 Mn |
| Mar 31, 2023 | 39.71 Mn |
| Dec 31, 2022 | 46.32 Mn |
| Sep 30, 2022 | 37.08 Mn |
| Jun 30, 2022 | 44.82 Mn |
| Mar 31, 2022 | 36.93 Mn |
| Dec 31, 2021 | 37.80 Mn |
| Sep 30, 2021 | 37.90 Mn |
Wm Technology Total 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-current-liabilities&ticker=MAPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();