Selective Insurance (SIGI) Property, Plant & Equipment (Net) (2009 - 2026)
Selective Insurance (SIGI) reported Property, Plant & Equipment (Net) of $116.5 million for Q2 2026, up 16.5% from $100.02 million a year earlier and up 6.0% from the prior quarter.
Selective Insurance (SIGI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Selective Insurance posted Property, Plant & Equipment (Net) of $106.39 million, up 14.0% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $93.3 million in FY2024 (+12.0%), $83.27 million in FY2023 (-1.2%), $84.31 million in FY2022 (+2.7%) and $82.05 million in FY2021 (+5.6%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last seven quarters, with growth averaging 13.8% over the last seven quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2025 (growth of 21.0%); the low point was Q2 2023 (a decline of 2.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $109.91 million (Q1 2026), $106.39 million (Q4 2025) and $102.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 411.04 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 922.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 806.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 765.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 761.00 Mn |
| 10 | Selective Insurance | 5.10 Bn | 3.00 Bn | 570.77 Mn | 116.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.50 Mn |
| Mar 31, 2026 | 109.91 Mn |
| Dec 31, 2025 | 106.39 Mn |
| Sep 30, 2025 | 102.42 Mn |
| Jun 30, 2025 | 100.02 Mn |
| Mar 31, 2025 | 100.10 Mn |
| Dec 31, 2024 | 93.30 Mn |
| Sep 30, 2024 | 92.20 Mn |
| Jun 30, 2024 | 89.20 Mn |
| Mar 31, 2024 | 82.70 Mn |
| Dec 31, 2023 | 83.27 Mn |
| Sep 30, 2023 | 81.37 Mn |
| Jun 30, 2023 | 81.26 Mn |
| Mar 31, 2023 | 83.37 Mn |
| Dec 31, 2022 | 84.31 Mn |
| Sep 30, 2022 | 85.33 Mn |
| Jun 30, 2022 | 83.37 Mn |
| Mar 31, 2022 | 83.18 Mn |
| Dec 31, 2021 | 82.05 Mn |
| Sep 30, 2021 | 75.01 Mn |
Selective Insurance Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();