Regal Rexnord (RRX) Cost of Revenue (2009 - 2026)
Regal Rexnord's Cost of Revenue was $946.8 million in Q2 2026, up 1.7% from $931.4 million a year earlier and up 1.9% from the prior quarter.
Regal Rexnord (RRX) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Regal Rexnord's Cost of Revenue was $3.77 billion through Jun 30, 2026, up 2.1% year-over-year; for FY2025, it was $3.72 billion, down 3.3% from FY2024.
- Cost of Revenue shows a four-year compound annual growth rate of 8.3% (FY2021 to FY2025).
- In earlier years, Cost of Revenue was $3.84 billion in FY2024 (-8.1%), $4.18 billion in FY2023 (+17.9%), $3.55 billion in FY2022 (+31.5%) and $2.7 billion in FY2021.
- Quarterly Cost of Revenue has moved between $826 million (Q1 2023) and $1.2 billion (Q2 2023) over five years.
- Compared with a year earlier, Cost of Revenue has increased for four straight quarters, with an average decline of 4.1% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2023 (growth of 31.5%); the worst was Q4 2022 (a decline of 28.2%).
- Per Business Quant data, RRX's Cost of Revenue in the three quarters before Q2 2026 was $929.2 million (Q1 2026), $952 million (Q4 2025) and $942.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Regal Rexnord | 10.64 Bn | 8.88 Bn | 611.60 Mn | 946.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 946.80 Mn |
| Mar 31, 2026 | 929.20 Mn |
| Dec 31, 2025 | 952.00 Mn |
| Sep 30, 2025 | 942.80 Mn |
| Jun 30, 2025 | 931.40 Mn |
| Mar 31, 2025 | 890.50 Mn |
| Dec 31, 2024 | 950.50 Mn |
| Sep 30, 2024 | 921.10 Mn |
| Jun 30, 2024 | 976.60 Mn |
| Mar 31, 2024 | 994.60 Mn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 826.00 Mn |
| Dec 31, 2022 | 838.10 Mn |
| Sep 30, 2022 | 917.60 Mn |
| Jun 30, 2022 | 915.90 Mn |
| Mar 31, 2022 | 876.60 Mn |
| Jan 1, 2022 | 1.17 Bn |
| Oct 2, 2021 | 624.60 Mn |
Regal Rexnord Cost of Revenue 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=cost-of-revenue&ticker=RRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();