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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 193.01 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 43.45 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 103.73 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 709.73 Bn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 55.80 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 515.80 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 91.05 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 42.27 Bn |
| 10 | Maase | 99.23 Mn | -32.36 Mn | - | 2.68 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Dec 31, 2021 | -3,329.72 |
| Jun 30, 2021 | -3.46 Mn |
| Jun 30, 2020 | 518,814.64 |
| Jun 30, 2019 | 10.99 Mn |
| Jun 30, 2018 | 4.80 Mn |
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_KEY
import 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();