Maase (MAAS) Total Liabilities (2018 - 2026)
Maase (MAAS) recorded Total Liabilities of $45.75 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 73.2% from $170.91 million a year earlier.
Maase (MAAS) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Maase reported Total Liabilities of $45.81 million, down 73.2% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $171.12 million in FY2025 (-26.2%), $231.72 million in FY2024, $7.52 million in FY2023 (-75.3%) and $30.44 million in FY2022 (+33.1%).
- Quarterly Total Liabilities has ranged from $6.55 million in fiscal Q4 2023 to $261.64 million in fiscal Q2 2024 over the past five years.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 147.0% in fiscal Q2 2022, against a decline of 93.0% in fiscal Q2 2026 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 540.28 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 205.00 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 93.26 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 44.90 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 113.09 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 723.97 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 54.99 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 54.94 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 95.54 Bn |
| 10 | Maase | 4.31 Bn | 4.29 Bn | - | 45.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.75 Mn |
| Dec 31, 2025 | 15.76 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 | 13.83 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 | 11.63 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();