Assurant (AIZ) Operating Expenses (2009 - 2026)
Assurant (AIZ) reported Operating Expenses of $3.08 billion for Q2 2026, up 7.2% from $2.87 billion a year earlier but down 0.2% from the prior quarter.
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Analysis
Assurant (AIZ) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Assurant's Operating Expenses came in at $12.13 billion, up 6.1% year-over-year; for FY2025, it was $11.73 billion, up 7.1% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $10.95 billion in FY2024 (+6.1%), $10.32 billion in FY2023 (+4.9%), $9.84 billion in FY2022 (+4.5%) and $9.42 billion in FY2021 (+4.4%).
- Five-year quarterly Operating Expenses spans a low of $2.31 billion in Q1 2022 and a high of $3.08 billion in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last 21 quarters, with growth averaging 7.1% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.2% (Q3 2023) and 11.7% (Q1 2025) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.08 billion (Q1 2026), $3.07 billion (Q4 2025) and $2.9 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Assurant | 13.02 Bn | 4.79 Bn | 2.71 Bn | 3.08 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.08 Bn |
| Mar 31, 2026 | 3.08 Bn |
| Dec 31, 2025 | 3.07 Bn |
| Sep 30, 2025 | 2.90 Bn |
| Jun 30, 2025 | 2.87 Bn |
| Mar 31, 2025 | 2.89 Bn |
| Dec 31, 2024 | 2.85 Bn |
| Sep 30, 2024 | 2.82 Bn |
| Jun 30, 2024 | 2.69 Bn |
| Mar 31, 2024 | 2.59 Bn |
| Dec 31, 2023 | 2.76 Bn |
| Sep 30, 2023 | 2.55 Bn |
| Jun 30, 2023 | 2.53 Bn |
| Mar 31, 2023 | 2.50 Bn |
| Dec 31, 2022 | 2.56 Bn |
| Sep 30, 2022 | 2.54 Bn |
| Jun 30, 2022 | 2.44 Bn |
| Mar 31, 2022 | 2.31 Bn |
| Dec 31, 2021 | 2.42 Bn |
| Sep 30, 2021 | 2.45 Bn |
API Access
Assurant 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=AIZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AIZ", "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=AIZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();