Amerisafe (AMSF) Change in Accured Expenses (2010 - 2026)
Amerisafe (AMSF) posted Change in Accured Expenses of $3.19 million for Q2 2026, down 18.5% from $3.92 million a year earlier but up 372.0% from the prior quarter.
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Analysis
Amerisafe (AMSF) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Amerisafe was $2.05 million, up 284.1% year-over-year; for FY2025, it was $1.86 million.
- In prior years, Amerisafe's Change in Accured Expenses was -$2.23 million in FY2024, $306,000 in FY2023 (-68.4%), $969,000 in FY2022 and -$2.24 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$4.61 million in Q4 2021 to a high of $3.92 million in Q2 2025 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 0.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2025, with growth of 119.3%; the weakest was Q3 2024, with a decline of 65.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $676,000 (Q1 2026), -$2.1 million (Q4 2025) and $279,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 108.00 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 216.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 685.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 535.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 51.00 Mn |
| 10 | Amerisafe | 437.27 Mn | -12.96 Mn | 43.63 Mn | 3.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.19 Mn |
| Mar 31, 2026 | 676,000.00 |
| Dec 31, 2025 | -2.10 Mn |
| Sep 30, 2025 | 279,000.00 |
| Jun 30, 2025 | 3.92 Mn |
| Mar 31, 2025 | -234,000.00 |
| Dec 31, 2024 | -3.57 Mn |
| Sep 30, 2024 | 424,000.00 |
| Jun 30, 2024 | 1.79 Mn |
| Mar 31, 2024 | -868,000.00 |
| Dec 31, 2023 | -1.75 Mn |
| Sep 30, 2023 | 1.21 Mn |
| Jun 30, 2023 | -11,000.00 |
| Mar 31, 2023 | 854,000.00 |
| Dec 31, 2022 | -2.79 Mn |
| Sep 30, 2022 | 865,000.00 |
| Jun 30, 2022 | 1.34 Mn |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | -4.61 Mn |
| Sep 30, 2021 | -984,000.00 |
API Access
Amerisafe Change in Accured Expenses 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=change-in-accured-expenses&ticker=AMSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();