Rli (RLI) Property, Plant & Equipment (Net) (2009 - 2026)
Rli (RLI) recorded Property, Plant & Equipment (Net) of $40.71 million in Q2 2026, down 2.4% from $41.72 million a year earlier but up 2.3% from the prior quarter.
Rli (RLI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Rli reported Property, Plant & Equipment (Net) of $40.73 million, down 5.6% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for four straight years, with a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $43.17 million in FY2024 (-7.6%), $46.72 million in FY2023 (-5.8%), $49.57 million in FY2022 (-5.0%) and $52.16 million in FY2021 (+1.5%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $39.81 million in Q1 2026 to $52.16 million in Q4 2021 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 16 consecutive quarters, with an average decline of 7.1% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 3.3% in Q1 2022, against a decline of 10.4% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.81 million (Q1 2026), $40.73 million (Q4 2025) and $41.09 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 | Rli | 5.13 Bn | 1.34 Bn | 385.67 Mn | 40.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.71 Mn |
| Mar 31, 2026 | 39.81 Mn |
| Dec 31, 2025 | 40.73 Mn |
| Sep 30, 2025 | 41.09 Mn |
| Jun 30, 2025 | 41.72 Mn |
| Mar 31, 2025 | 42.33 Mn |
| Dec 31, 2024 | 43.17 Mn |
| Sep 30, 2024 | 44.64 Mn |
| Jun 30, 2024 | 46.57 Mn |
| Mar 31, 2024 | 46.54 Mn |
| Dec 31, 2023 | 46.72 Mn |
| Sep 30, 2023 | 48.60 Mn |
| Jun 30, 2023 | 48.36 Mn |
| Mar 31, 2023 | 48.95 Mn |
| Dec 31, 2022 | 49.57 Mn |
| Sep 30, 2022 | 50.39 Mn |
| Jun 30, 2022 | 50.96 Mn |
| Mar 31, 2022 | 52.12 Mn |
| Dec 31, 2021 | 52.16 Mn |
| Sep 30, 2021 | 50.86 Mn |
Rli 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=RLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "RLI", "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=RLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();