Maase (MAAS) Total Non-Current Liabilities (2018 - 2026)
Maase (MAAS) reported Total Non-Current Liabilities of $1.58 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 98.1% from $84.2 million a year earlier.
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Analysis
Maase (MAAS) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
Dating back to fiscal Q4 2018, Maase's Total Non-Current Liabilities record includes 11 quarters.
- By fiscal year, Total Non-Current Liabilities came in at $84.3 million in FY2025 (-22.2%), $108.32 million in FY2024, $3.23 million in FY2023 and -$3.6 million in FY2022.
- The fiscal Q4 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 539.93 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 197.66 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 46.47 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 43.45 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 105.35 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 701.51 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 52.64 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 53.57 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 95.53 Bn |
| 10 | Maase | 4.31 Bn | 4.29 Bn | - | 1.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 Mn |
| Dec 31, 2025 | 2.68 Mn |
| Jun 30, 2025 | 84.20 Mn |
| Dec 31, 2024 | 106.13 Mn |
| Jun 30, 2024 | 108.32 Mn |
| Jun 30, 2023 | 3.23 Mn |
| Jun 30, 2022 | -3.59 Mn |
| Jun 30, 2021 | -3.46 Mn |
| Jun 30, 2020 | 518,814.64 |
| Jun 30, 2019 | 10.99 Mn |
| Jun 30, 2018 | 4.80 Mn |
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();