Selective Insurance (SIGI) Cash from Operations (2009 - 2026)
Selective Insurance (SIGI) recorded Cash from Operations of $367.24 million in Q3 2026, down 9.5% from $405.83 million a year earlier but up 60.4% from the prior quarter.
Selective Insurance (SIGI) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Selective Insurance's Cash from Operations came in at $1.19 billion as of Sep 30, 2026, up 0.4% year-over-year; for FY2025, it came in at $1.23 billion, up 12.1% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $1.1 billion in FY2024 (+44.9%), $758.91 million in FY2023 (-5.4%), $802.41 million in FY2022 (+4.0%) and $771.42 million in FY2021 (+39.2%).
- Quarterly Cash from Operations has ranged from $92.68 million in Q1 2022 to $405.83 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash from Operations rose in four of the last seven quarters, with growth averaging 19.3%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 148.7% in Q1 2025, against a decline of 37.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $228.99 million (Q2 2026), $221.45 million (Q1 2026) and $376.26 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 6.07 Bn |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | 4.52 Bn |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | 1.48 Bn |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | 3.88 Bn |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | -175.73 Mn |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | 1.34 Bn |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 1.19 Bn |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | 3.78 Bn |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | 2.23 Bn |
| 10 | Selective Insurance | 5.89 Bn | 3.99 Bn | 563.60 Mn | 367.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 367.24 Mn |
| Jun 30, 2026 | 228.99 Mn |
| Mar 31, 2026 | 221.45 Mn |
| Dec 31, 2025 | 376.26 Mn |
| Sep 30, 2025 | 405.83 Mn |
| Jun 30, 2025 | 166.95 Mn |
| Mar 31, 2025 | 283.99 Mn |
| Dec 31, 2024 | 332.19 Mn |
| Sep 30, 2024 | 387.37 Mn |
| Jun 30, 2024 | 266.13 Mn |
| Mar 31, 2024 | 114.21 Mn |
| Jun 30, 2023 | 157.88 Mn |
| Mar 31, 2023 | 135.77 Mn |
| Jun 30, 2022 | 150.80 Mn |
| Mar 31, 2022 | 92.68 Mn |
| Jun 30, 2021 | 162.20 Mn |
| Mar 31, 2021 | 130.26 Mn |
| Dec 31, 2020 | 173.16 Mn |
| Sep 30, 2020 | 183.50 Mn |
| Jun 30, 2020 | 158.07 Mn |
Selective Insurance Cash from Operations 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=cash-from-operations&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();