Amerisafe (AMSF) Operating Expenses (2010 - 2026)
Amerisafe (AMSF) recorded Operating Expenses of $73.71 million in Q2 2026, up 15.8% from $63.63 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Amerisafe (AMSF) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Amerisafe's Operating Expenses came in at $277.03 million as of Jun 30, 2026, up 13.9% year-over-year; for FY2025, it was $258.4 million, up 7.7% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $239.99 million in FY2024 (+4.6%), $229.48 million in FY2023 (+1.1%), $227.09 million in FY2022 (-4.0%) and $236.49 million in FY2021 (+1.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2021.
- On a year-over-year basis, Operating Expenses has increased for 12 consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 45.3% in Q4 2021, against a decline of 29.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $69.93 million (Q1 2026), $68.9 million (Q4 2025) and $64.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 3.59 Bn |
| 10 | Amerisafe | 442.46 Mn | -7.77 Mn | 43.63 Mn | 73.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.71 Mn |
| Mar 31, 2026 | 69.93 Mn |
| Dec 31, 2025 | 68.90 Mn |
| Sep 30, 2025 | 64.50 Mn |
| Jun 30, 2025 | 63.63 Mn |
| Mar 31, 2025 | 61.38 Mn |
| Dec 31, 2024 | 57.26 Mn |
| Sep 30, 2024 | 60.90 Mn |
| Jun 30, 2024 | 62.09 Mn |
| Mar 31, 2024 | 59.74 Mn |
| Dec 31, 2023 | 56.17 Mn |
| Sep 30, 2023 | 60.31 Mn |
| Jun 30, 2023 | 56.09 Mn |
| Mar 31, 2023 | 56.90 Mn |
| Dec 31, 2022 | 54.11 Mn |
| Sep 30, 2022 | 57.93 Mn |
| Jun 30, 2022 | 60.91 Mn |
| Mar 31, 2022 | 54.14 Mn |
| Dec 31, 2021 | 76.45 Mn |
| Sep 30, 2021 | 48.32 Mn |
API Access
Amerisafe Operating 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=operating-expenses&ticker=AMSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();