Allstate (ALL) Operating Expenses (2009 - 2026)
Allstate's Operating Expenses came in at $14.45 billion for Q2 2026, down 2.5% from $14.82 billion a year earlier but up 4.5% from the prior quarter.
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Analysis
Allstate (ALL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Allstate reported Operating Expenses of $53.87 billion, down 10.0% year-over-year; for FY2025, it came in at $56.13 billion, down 3.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $58.35 billion in FY2024 (+1.6%), $57.44 billion in FY2023 (+7.9%), $53.24 billion in FY2022 (+20.6%) and $44.14 billion in FY2021 (+25.7%).
- The five-year range for quarterly Operating Expenses is $11.54 billion (Q1 2022) to $15.73 billion (Q1 2025).
- Year-over-year, Operating Expenses has declined for five consecutive quarters, with an average decline of 2.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 43.4%), and the weakest in Q3 2025 (a decline of 13.5%).
- Business Quant data shows ALL's Operating Expenses at $13.83 billion (Q1 2026), $12.42 billion (Q4 2025) and $13.16 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.72 Bn | 81.30 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 130.41 Bn | 106.24 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 85.49 Bn | 76.98 Bn | - | 5.51 Bn |
| 4 | Travelers Companies | 78.59 Bn | 54.84 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 73.78 Bn | -21.10 Bn | - | -902.21 Mn |
| 6 | Metlife | 64.71 Bn | -42.07 Bn | 7.82 Bn | 18.12 Bn |
| 7 | Allstate | 60.59 Bn | 21.86 Bn | 8.73 Bn | 14.45 Bn |
| 8 | Arthur J. Gallagher | 60.16 Bn | 54.57 Bn | - | 3.59 Bn |
| 9 | Aon | 58.80 Bn | 52.02 Bn | - | 3.33 Bn |
| 10 | Aflac | 58.68 Bn | 33.89 Bn | 2.27 Bn | 3.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.45 Bn |
| Mar 31, 2026 | 13.83 Bn |
| Dec 31, 2025 | 12.42 Bn |
| Sep 30, 2025 | 13.16 Bn |
| Jun 30, 2025 | 14.82 Bn |
| Mar 31, 2025 | 15.73 Bn |
| Dec 31, 2024 | 14.06 Bn |
| Sep 30, 2024 | 15.21 Bn |
| Jun 30, 2024 | 15.28 Bn |
| Mar 31, 2024 | 13.80 Bn |
| Dec 31, 2023 | 13.01 Bn |
| Sep 30, 2023 | 14.52 Bn |
| Jun 30, 2023 | 15.73 Bn |
| Mar 31, 2023 | 14.19 Bn |
| Dec 31, 2022 | 14.06 Bn |
| Sep 30, 2022 | 14.12 Bn |
| Jun 30, 2022 | 13.53 Bn |
| Mar 31, 2022 | 11.54 Bn |
| Dec 31, 2021 | 11.61 Bn |
| Sep 30, 2021 | 12.25 Bn |
API Access
Allstate 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=ALL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALL", "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=ALL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();