Maase (MAAS) Total Non-Current Liabilities (2018 - 2025)
Maase (MAAS) reported Total Non-Current Liabilities of $787,000 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 99.3% from $106.13 million a year earlier.
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Analysis
Maase (MAAS) Total Non-Current Liabilities (2018 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Maase posted Total Non-Current Liabilities of $788,000, down 99.3% from FY2024.
- By fiscal year, Total Non-Current Liabilities came in at $108.32 million in FY2024 and $3.37 million in FY2023.
- The fiscal Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 512.32 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 193.01 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 42.76 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 103.73 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 729.04 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 574.78 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 42.27 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 55.80 Bn |
| 10 | Maase | 256.23 Mn | 119.99 Mn | - | 787,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 787,000.00 |
| Jun 30, 2025 | 83.49 Mn |
| Dec 31, 2024 | 106.13 Mn |
| Jun 30, 2024 | 108.74 Mn |
| Jun 30, 2023 | 3.35 Mn |
| Jun 30, 2021 | 0.00 |
| Jun 30, 2020 | 0.00 |
| Jun 30, 2019 | 0.00 |
| Jun 30, 2018 | 0.00 |
API Access
Maase 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=MAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();