Regal Rexnord (RRX) Operating Expenses (2009 - 2025)
Regal Rexnord (RRX) recorded Operating Expenses of $406.8 million in Q4 2025, up 6.4% from $382.5 million a year earlier and up 7.1% from the prior quarter.
Regal Rexnord (RRX) Operating Expenses (2009 - 2025) Analysis & Trends
For FY2025, Regal Rexnord reported Operating Expenses of $1.54 billion, down 1.5% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 19.5% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $1.56 billion in FY2024 (-7.6%), $1.69 billion in FY2023 (+72.6%), $979.3 million in FY2022 (+30.0%) and $753.3 million in FY2021.
- The Q4 2025 figure is the highest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 2.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 140.6% in Q3 2023, against a decline of 32.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $379.8 million (Q3 2025), $382.4 million (Q2 2025) and $367.9 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Regal Rexnord | 10.33 Bn | 8.57 Bn | 611.60 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 406.80 Mn |
| Sep 30, 2025 | 379.80 Mn |
| Jun 30, 2025 | 382.40 Mn |
| Mar 31, 2025 | 367.90 Mn |
| Dec 31, 2024 | 382.50 Mn |
| Sep 30, 2024 | 382.20 Mn |
| Jun 30, 2024 | 377.10 Mn |
| Mar 31, 2024 | 419.20 Mn |
| Dec 31, 2023 | 386.20 Mn |
| Sep 30, 2023 | 562.60 Mn |
| Jun 30, 2023 | 412.20 Mn |
| Mar 31, 2023 | 329.20 Mn |
| Dec 31, 2022 | 254.90 Mn |
| Sep 30, 2022 | 233.80 Mn |
| Jun 30, 2022 | 238.60 Mn |
| Mar 31, 2022 | 252.00 Mn |
| Jan 1, 2022 | 364.00 Mn |
| Oct 2, 2021 | 147.20 Mn |
| Jul 3, 2021 | 142.50 Mn |
| Apr 3, 2021 | 148.30 Mn |
Regal Rexnord Operating 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=operating-expenses&ticker=RRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();