Regal Rexnord (RRX) Cash from Operations (2010 - 2026)
Regal Rexnord's Cash from Operations was $176.7 million in Q2 2026, down 66.2% from $523.2 million a year earlier.
Regal Rexnord (RRX) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Regal Rexnord's Cash from Operations was $556.9 million through Jun 30, 2026, down 43.9% year-over-year; for FY2025, it came in at $990.8 million, up 62.6% from FY2024.
- Cash from Operations shows a four-year compound annual growth rate of 29.0% (FY2021 to FY2025).
- In earlier years, Cash from Operations was $609.4 million in FY2024 (-14.8%), $715.3 million in FY2023 (+64.0%), $436.2 million in FY2022 (+21.9%) and $357.7 million in FY2021.
- Quarterly Cash from Operations has moved between -$5.9 million (Q1 2022) and $523.2 million (Q2 2025) over five years.
- Compared with a year earlier, Cash from Operations has declined for three straight quarters, with growth averaging 12.1% over the last eight quarters.
- The best year-over-year quarter for Cash from Operations over five years was Q4 2022 (growth of 314.6%); the worst was Q1 2026 (a decline of 85.4%).
- Per Business Quant data, RRX's Cash from Operations in the three quarters before Q2 2026 was $14.9 million (Q1 2026), $167.8 million (Q4 2025) and $197.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.37 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 1.56 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.21 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.13 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.74 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.10 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.42 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 986.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 723.00 Mn |
| 10 | Regal Rexnord | 10.33 Bn | 8.57 Bn | 611.60 Mn | 176.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.70 Mn |
| Mar 31, 2026 | 14.90 Mn |
| Dec 31, 2025 | 167.80 Mn |
| Sep 30, 2025 | 197.50 Mn |
| Jun 30, 2025 | 523.20 Mn |
| Mar 31, 2025 | 102.30 Mn |
| Dec 31, 2024 | 213.20 Mn |
| Sep 30, 2024 | 154.80 Mn |
| Jun 30, 2024 | 158.30 Mn |
| Mar 31, 2024 | 83.10 Mn |
| Dec 31, 2023 | 201.30 Mn |
| Sep 30, 2023 | 186.70 Mn |
| Jun 30, 2023 | 221.10 Mn |
| Mar 31, 2023 | 106.20 Mn |
| Dec 31, 2022 | 198.20 Mn |
| Sep 30, 2022 | 133.10 Mn |
| Jun 30, 2022 | 110.80 Mn |
| Mar 31, 2022 | -5.90 Mn |
| Jan 1, 2022 | 47.80 Mn |
| Apr 3, 2021 | 49.50 Mn |
Regal Rexnord Cash from Operations 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=cash-from-operations&ticker=RRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();