Maase (MAAS) Total Liabilities (2018 - 2025)
Maase (MAAS) recorded Total Liabilities of $37.63 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 83.7% from $230.29 million a year earlier.
Maase (MAAS) Total Liabilities (2018 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Maase reported Total Liabilities of $169.96 million, down 26.7% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 80.8% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $231.72 million in FY2024, $7.52 million in FY2023 (-75.3%), $30.44 million in FY2022 (+36.5%) and $22.3 million in FY2021 (+153.2%).
- The fiscal Q2 2026 figure is the lowest quarterly Total Liabilities since fiscal Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 200.48 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 90.59 Bn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 110.46 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 731.27 Bn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 58.06 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 91.06 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 43.66 Bn |
| 10 | Maase | 99.23 Mn | -32.36 Mn | - | 15.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15.75 Mn |
| Jun 30, 2025 | 170.91 Mn |
| Dec 31, 2024 | 226.62 Mn |
| Jun 30, 2024 | 231.72 Mn |
| Dec 31, 2023 | 261.64 Mn |
| Jun 30, 2023 | 6.55 Mn |
| Dec 31, 2022 | 13.69 Mn |
| Jun 30, 2022 | 30.43 Mn |
| Dec 31, 2021 | 29.53 Mn |
| Jun 30, 2021 | 22.84 Mn |
| Dec 31, 2020 | 11.96 Mn |
| Jun 30, 2020 | 8.79 Mn |
| Dec 31, 2019 | 11.59 Mn |
| Jun 30, 2019 | 11.04 Mn |
| Dec 31, 2018 | 4.39 Mn |
| Jun 30, 2018 | 4.86 Mn |
Maase Total 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-liabilities&ticker=MAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MAAS", "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-liabilities&ticker=MAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();