Regal Rexnord (RRX) Operating Income (2009 - 2026)
Regal Rexnord (RRX) recorded Operating Income of $215.2 million in Q2 2026, up 18.0% from $182.3 million a year earlier and up 40.9% from the prior quarter.
Powered by 
Analysis
Regal Rexnord (RRX) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, Regal Rexnord's Operating Income came in at $706.8 million as of Jun 30, 2026, up 9.7% year-over-year; for FY2025, it came in at $680.8 million, up 8.1% from FY2024.
- Annual Operating Income has a four-year compound annual growth rate of 17.4% (FY2021 to FY2025).
- Across earlier years, Operating Income came in at $630 million in FY2024 (+67.1%), $377.1 million in FY2023 (-45.4%), $690.4 million in FY2022 (+92.7%) and $358.3 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Income in data going back to Q1 2010.
- On a year-over-year basis, Operating Income rose in four of the last seven quarters, with growth averaging 4.0%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 94.3% in Q1 2024, against a decline of 59.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $152.7 million (Q1 2026), $164.5 million (Q4 2025) and $174.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Regal Rexnord | 10.33 Bn | 8.57 Bn | 611.60 Mn | 215.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 215.20 Mn |
| Mar 31, 2026 | 152.70 Mn |
| Dec 31, 2025 | 164.50 Mn |
| Sep 30, 2025 | 174.40 Mn |
| Jun 30, 2025 | 182.30 Mn |
| Mar 31, 2025 | 159.70 Mn |
| Dec 31, 2024 | 128.10 Mn |
| Sep 30, 2024 | 174.10 Mn |
| Jun 30, 2024 | 193.90 Mn |
| Mar 31, 2024 | 133.90 Mn |
| Dec 31, 2023 | 177.00 Mn |
| Sep 30, 2023 | -20.40 Mn |
| Jun 30, 2023 | 151.60 Mn |
| Mar 31, 2023 | 68.90 Mn |
| Sep 30, 2022 | 173.90 Mn |
| Jun 30, 2022 | 194.90 Mn |
| Mar 31, 2022 | 169.90 Mn |
| Jan 1, 2022 | 18.90 Mn |
| Oct 2, 2021 | 120.90 Mn |
| Jul 3, 2021 | 115.20 Mn |
API Access
Regal Rexnord Operating Income 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-income&ticker=RRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();