Regal Rexnord (RRX) Other Operating Expenses (2009 - 2026)
Regal Rexnord (RRX) recorded Other Operating Expenses of $396.4 million in Q2 2026, up 3.7% from $382.4 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Regal Rexnord (RRX) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Regal Rexnord's Other Operating Expenses came in at $1.58 billion as of Jun 30, 2026, up 4.3% year-over-year; for FY2025, it was $1.53 billion, down 1.3% from FY2024.
- Annual Other Operating Expenses has a four-year compound annual growth rate of 19.4% (FY2021 to FY2025).
- Across earlier years, Other Operating Expenses came in at $1.55 billion in FY2024 (+0.5%), $1.55 billion in FY2023 (+57.9%), $978.4 million in FY2022 (+29.9%) and $753.3 million in FY2021.
- Quarterly Other Operating Expenses has ranged from $233.8 million in Q3 2022 to $562.6 million in Q3 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for three consecutive quarters, with an average decline of 3.4% over the last eight quarters.
- Peak year-over-year performance for Other 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 $397.2 million (Q1 2026), $402.3 million (Q4 2025) and $379.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn |
| 10 | Regal Rexnord | 9.90 Bn | 8.15 Bn | 611.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 396.40 Mn |
| Mar 31, 2026 | 397.20 Mn |
| Dec 31, 2025 | 402.30 Mn |
| Sep 30, 2025 | 379.80 Mn |
| Jun 30, 2025 | 382.40 Mn |
| Mar 31, 2025 | 367.90 Mn |
| Dec 31, 2024 | 378.30 Mn |
| Sep 30, 2024 | 382.20 Mn |
| Jun 30, 2024 | 394.30 Mn |
| Mar 31, 2024 | 397.70 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 | 2.80 Mn |
API Access
Regal Rexnord Other 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=other-operating-expenses&ticker=RRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();