Amerisafe (AMSF) Total Non-Current Liabilities (2010 - 2026)
Amerisafe's Total Non-Current Liabilities was $837.83 million in Q2 2026, down 1.5% from $850.25 million a year earlier and down 0.1% from the prior quarter.
Amerisafe (AMSF) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Amerisafe came in at $839.77 million, down 2.6% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, with a three-year compound annual growth rate of -2.8% (FY2022 to FY2025).
- In earlier years, Total Non-Current Liabilities was $862.04 million in FY2024 (-3.8%), $895.69 million in FY2023 (-2.0%) and $913.79 million in FY2022.
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2012.
- Compared with a year earlier, Total Non-Current Liabilities has declined for nine straight quarters, with an average decline of 3.4% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Non-Current Liabilities ran from 1.5% in Q2 2026 to 5.5% in Q3 2025.
- Per Business Quant data, AMSF's Total Non-Current Liabilities in the three quarters before Q2 2026 was $838.6 million (Q1 2026), $839.77 million (Q4 2025) and $850.54 million (Q3 2025).
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 | Amerisafe | 442.46 Mn | -7.77 Mn | 43.63 Mn | 837.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 837.83 Mn |
| Mar 31, 2026 | 838.60 Mn |
| Dec 31, 2025 | 839.77 Mn |
| Sep 30, 2025 | 850.54 Mn |
| Jun 30, 2025 | 850.25 Mn |
| Mar 31, 2025 | 858.05 Mn |
| Dec 31, 2024 | 862.04 Mn |
| Sep 30, 2024 | 900.46 Mn |
| Jun 30, 2024 | 893.77 Mn |
| Mar 31, 2024 | 902.17 Mn |
| Dec 31, 2023 | 895.69 Mn |
| Sep 30, 2023 | 919.17 Mn |
| Jun 30, 2023 | 920.38 Mn |
| Dec 31, 2022 | 913.79 Mn |
| Mar 31, 2019 | 1.09 Bn |
| Dec 31, 2018 | 1.07 Bn |
| Sep 30, 2018 | 1.09 Bn |
| Jun 30, 2018 | 1.07 Bn |
| Mar 31, 2018 | 1.06 Bn |
| Dec 31, 2017 | 1.06 Bn |
Amerisafe 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=AMSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();