Selective Insurance (SIGI) Change in Accrued Expenses (2011 - 2026)
Selective Insurance's Change in Accrued Expenses was $19.1 million in Q3 2026, down 20.8% from $24.11 million a year earlier but up 172.4% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Change in Accrued Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Selective Insurance's Change in Accrued Expenses was $9.16 million through Sep 30, 2026, down 52.5% year-over-year; for FY2025, it was $18.83 million.
- In earlier years, Change in Accrued Expenses was $588,000 in FY2024 (-90.9%), $6.43 million in FY2023, -$3.09 million in FY2022 and $7.22 million in FY2021.
- Quarterly Change in Accrued Expenses has moved between -$30.47 million (Q1 2022) and $24.11 million (Q3 2025) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in two of the last four quarters, with growth averaging 55.6%.
- Per Business Quant data, SIGI's Change in Accrued Expenses in the three quarters before Q3 2026 was $7.01 million (Q2 2026), -$25.61 million (Q1 2026) and $8.67 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.38 Bn | 86.02 Bn | 8.67 Bn | 110.00 Mn |
| 2 | Progressive | 132.04 Bn | 107.57 Bn | 8.29 Bn | 391.00 Mn |
| 3 | Marsh & Mclennan Companies | 97.43 Bn | 89.59 Bn | - | 680.00 Mn |
| 4 | Travelers Companies | 81.89 Bn | 59.38 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 74.95 Bn | -20.56 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.15 Bn | 65.74 Bn | - | -315.00 Mn |
| 7 | Aon | 70.73 Bn | 49.93 Bn | - | 218.00 Mn |
| 8 | Metlife | 65.30 Bn | -41.48 Bn | 7.82 Bn | - |
| 9 | Allstate | 64.19 Bn | 24.03 Bn | 7.41 Bn | - |
| 10 | Selective Insurance | 5.91 Bn | 4.00 Bn | 563.60 Mn | 19.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.10 Mn |
| Jun 30, 2026 | 7.01 Mn |
| Mar 31, 2026 | -25.61 Mn |
| Dec 31, 2025 | 8.67 Mn |
| Sep 30, 2025 | 24.11 Mn |
| Jun 30, 2025 | 2.11 Mn |
| Mar 31, 2025 | -16.05 Mn |
| Dec 31, 2024 | 9.12 Mn |
| Sep 30, 2024 | 20.89 Mn |
| Jun 30, 2024 | -5.33 Mn |
| Mar 31, 2024 | -24.09 Mn |
| Jun 30, 2023 | 3.21 Mn |
| Mar 31, 2023 | -26.41 Mn |
| Jun 30, 2022 | 11.94 Mn |
| Mar 31, 2022 | -30.47 Mn |
| Jun 30, 2021 | 19.73 Mn |
| Mar 31, 2021 | -31.22 Mn |
| Dec 31, 2020 | 20.41 Mn |
| Sep 30, 2020 | 10.41 Mn |
| Jun 30, 2020 | 8.64 Mn |
API Access
Selective Insurance Change in Accrued 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=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SIGI", "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=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();