Regal Rexnord (RRX) Shares Outstanding (Diluted) (2009 - 2026)
Regal Rexnord (RRX) recorded Shares Outstanding (Diluted) of 66.9 million in Q2 2026, up 0.6% from 66.5 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Regal Rexnord (RRX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Regal Rexnord reported Shares Outstanding (Diluted) of 66.6 million, down 0.1% from FY2024.
- Annual Shares Outstanding (Diluted) has a four-year compound annual growth rate of 8.7% (FY2021 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 66.7 million in FY2024 (+0.6%), 66.3 million in FY2023 (-1.2%), 67.1 million in FY2022 (+40.7%) and 47.7 million in FY2021.
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q4 2022.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in four of the last eight quarters, with growth averaging 0.1%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 40.7% in Q4 2022, against a decline of 1.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 66.8 million (Q1 2026), 66.6 million (Q4 2025) and 66.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 128.10 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 561.10 Mn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 287.00 Mn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 392.75 Mn |
| 10 | Regal Rexnord | 9.89 Bn | 8.13 Bn | 611.60 Mn | 66.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.90 Mn |
| Mar 31, 2026 | 66.80 Mn |
| Dec 31, 2025 | 66.60 Mn |
| Sep 30, 2025 | 66.60 Mn |
| Jun 30, 2025 | 66.50 Mn |
| Mar 31, 2025 | 66.50 Mn |
| Dec 31, 2024 | 66.70 Mn |
| Sep 30, 2024 | 66.70 Mn |
| Jun 30, 2024 | 66.80 Mn |
| Mar 31, 2024 | 66.80 Mn |
| Dec 31, 2023 | 66.30 Mn |
| Sep 30, 2023 | 66.30 Mn |
| Jun 30, 2023 | 66.60 Mn |
| Mar 31, 2023 | 66.60 Mn |
| Dec 31, 2022 | 67.10 Mn |
| Sep 30, 2022 | 66.70 Mn |
| Jun 30, 2022 | 67.10 Mn |
| Mar 31, 2022 | 67.90 Mn |
| Jan 1, 2022 | 47.70 Mn |
| Oct 2, 2021 | 41.00 Mn |
API Access
Regal Rexnord Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=RRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();