Regal Rexnord (RRX) Property, Plant & Equipment (Net) (2010 - 2026)
Regal Rexnord's Property, Plant & Equipment (Net) was $868.7 million in Q2 2026, down 7.8% from $942.4 million a year earlier and down 1.7% from the prior quarter.
Regal Rexnord (RRX) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Regal Rexnord came in at $911.8 million, down 1.0% from FY2024.
- Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of 0.1% (FY2021 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $921 million in FY2024 (-11.5%), $1.04 billion in FY2023 (+29.0%), $807 million in FY2022 (-11.2%) and $908.5 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for ten straight quarters, with an average decline of 5.9% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2023 (growth of 46.6%); the worst was Q2 2024 (a decline of 19.5%).
- Per Business Quant data, RRX's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $884 million (Q1 2026), $911.8 million (Q4 2025) and $925.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Regal Rexnord | 10.64 Bn | 8.88 Bn | 611.60 Mn | 868.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 868.70 Mn |
| Mar 31, 2026 | 884.00 Mn |
| Dec 31, 2025 | 911.80 Mn |
| Sep 30, 2025 | 925.90 Mn |
| Jun 30, 2025 | 942.40 Mn |
| Mar 31, 2025 | 904.50 Mn |
| Dec 31, 2024 | 921.00 Mn |
| Sep 30, 2024 | 961.90 Mn |
| Jun 30, 2024 | 970.10 Mn |
| Mar 31, 2024 | 994.00 Mn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 1.06 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 807.00 Mn |
| Sep 30, 2022 | 790.50 Mn |
| Jun 30, 2022 | 822.00 Mn |
| Mar 31, 2022 | 852.70 Mn |
| Jan 1, 2022 | 908.50 Mn |
| Oct 2, 2021 | 514.10 Mn |
Regal Rexnord 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=RRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "RRX", "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=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();