Amerisafe (AMSF) Total Liabilities (2010 - 2026)
Amerisafe (AMSF) recorded Total Liabilities of $877.3 million in Q2 2026, down 1.4% from $889.54 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Amerisafe (AMSF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Amerisafe reported Total Liabilities of $878.95 million, down 2.4% from FY2024.
- Annual Total Liabilities has declined for seven straight years, with a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $900.45 million in FY2024 (-3.9%), $936.71 million in FY2023 (-1.6%), $951.85 million in FY2022 (-5.1%) and $1 billion in FY2021 (-2.8%).
- Quarterly Total Liabilities has ranged from $876.36 million in Q1 2026 to $1 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for 28 consecutive quarters, with an average decline of 3.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Liabilities ranged from 1.3% (Q3 2022) to 6.1% (Q3 2021).
- Per Business Quant, the preceding three quarters came in at $876.36 million (Q1 2026), $878.95 million (Q4 2025) and $890.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 43.66 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 58.06 Bn |
| 10 | Amerisafe | 442.46 Mn | -7.77 Mn | 43.63 Mn | 877.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 877.30 Mn |
| Mar 31, 2026 | 876.36 Mn |
| Dec 31, 2025 | 878.95 Mn |
| Sep 30, 2025 | 890.17 Mn |
| Jun 30, 2025 | 889.54 Mn |
| Mar 31, 2025 | 895.90 Mn |
| Dec 31, 2024 | 900.45 Mn |
| Sep 30, 2024 | 940.36 Mn |
| Jun 30, 2024 | 932.54 Mn |
| Mar 31, 2024 | 942.05 Mn |
| Dec 31, 2023 | 936.71 Mn |
| Sep 30, 2023 | 960.75 Mn |
| Jun 30, 2023 | 958.35 Mn |
| Mar 31, 2023 | 955.40 Mn |
| Dec 31, 2022 | 951.85 Mn |
| Sep 30, 2022 | 986.48 Mn |
| Jun 30, 2022 | 996.93 Mn |
| Mar 31, 2022 | 996.11 Mn |
| Dec 31, 2021 | 1.00 Bn |
| Sep 30, 2021 | 999.77 Mn |
API Access
Amerisafe 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=AMSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AMSF", "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=AMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();