Progressive (PGR) Change in Accured Expenses (2012 - 2026)
Progressive's Change in Accured Expenses was $216 million in Q2 2026, unchanged from $216 million a year earlier.
Progressive (PGR) Change in Accured Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Progressive's Change in Accured Expenses was $434 million through Jun 30, 2026, down 40.4% year-over-year; for FY2025, it was $1.56 billion, up 25.9% from FY2024.
- Change in Accured Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 36.5% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $1.24 billion in FY2024 (+76.6%), $700 million in FY2023 (+251.8%), $199 million in FY2022 (-50.2%) and $399.7 million in FY2021 (+21.5%).
- Quarterly Change in Accured Expenses has moved between -$788 million (Q1 2026) and $1.53 billion (Q3 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last five quarters, with growth averaging 31.1%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2024 (growth of 208.5%); the worst was Q3 2022 (a decline of 65.1%).
- Per Business Quant data, PGR's Change in Accured Expenses in the three quarters before Q2 2026 was -$788 million (Q1 2026), -$523 million (Q4 2025) and $1.53 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | 108.00 Mn |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | 216.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | 685.00 Mn |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | - |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | - |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | 535.00 Mn |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | - |
| 10 | Aon | 58.62 Bn | 51.84 Bn | - | 51.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 216.00 Mn |
| Mar 31, 2026 | -788.00 Mn |
| Dec 31, 2025 | -523.00 Mn |
| Sep 30, 2025 | 1.53 Bn |
| Jun 30, 2025 | 216.00 Mn |
| Mar 31, 2025 | 334.00 Mn |
| Dec 31, 2024 | -365.00 Mn |
| Sep 30, 2024 | 543.00 Mn |
| Jun 30, 2024 | 600.00 Mn |
| Mar 31, 2024 | 458.00 Mn |
| Dec 31, 2023 | -389.10 Mn |
| Sep 30, 2023 | 329.10 Mn |
| Jun 30, 2023 | 194.50 Mn |
| Mar 31, 2023 | 565.50 Mn |
| Dec 31, 2022 | -347.50 Mn |
| Sep 30, 2022 | 110.00 Mn |
| Jun 30, 2022 | -108.60 Mn |
| Mar 31, 2022 | 545.10 Mn |
| Dec 31, 2021 | -633.30 Mn |
| Sep 30, 2021 | 315.20 Mn |
Progressive 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=PGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PGR", "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=PGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();