Regal Rexnord (RRX) Depreciation and Depletion (2022 - 2026)
Regal Rexnord (RRX) recorded Depreciation and Depletion of $38.5 million in Q2 2026, up 8.5% from $35.5 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Regal Rexnord (RRX) Depreciation and Depletion (2022 - 2026) Analysis & Trends
On a TTM basis, Regal Rexnord's Depreciation and Depletion came in at $154.7 million as of Jun 30, 2026, down 2.6% year-over-year; for FY2025, it came in at $154.5 million, down 6.5% from FY2024.
- Annual Depreciation and Depletion has a four-year compound annual growth rate of 13.5% (FY2021 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $165.3 million in FY2024 (-10.6%), $185 million in FY2023 (+51.8%), $121.9 million in FY2022 (+30.8%) and $93.2 million in FY2021.
- Quarterly Depreciation and Depletion has ranged from $28.5 million in Q3 2022 to $53.9 million in Q3 2023 over the past five years.
- On a year-over-year basis, Depreciation and Depletion rose in two of the last eight quarters, with an average decline of 8.6%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 89.1% in Q3 2023, against a decline of 24.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $37.3 million (Q1 2026), $37 million (Q4 2025) and $41.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | - |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | - |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Regal Rexnord | 10.42 Bn | 8.66 Bn | 611.60 Mn | 38.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.50 Mn |
| Mar 31, 2026 | 37.30 Mn |
| Dec 31, 2025 | 37.00 Mn |
| Sep 30, 2025 | 41.90 Mn |
| Jun 30, 2025 | 35.50 Mn |
| Mar 31, 2025 | 40.10 Mn |
| Dec 31, 2024 | 42.70 Mn |
| Sep 30, 2024 | 40.60 Mn |
| Jun 30, 2024 | 40.50 Mn |
| Mar 31, 2024 | 41.50 Mn |
| Dec 31, 2023 | 53.30 Mn |
| Sep 30, 2023 | 53.90 Mn |
| Jun 30, 2023 | 47.60 Mn |
| Mar 31, 2023 | 30.20 Mn |
| Dec 31, 2022 | 30.90 Mn |
| Sep 30, 2022 | 28.50 Mn |
| Jun 30, 2022 | 31.90 Mn |
| Mar 31, 2022 | 30.60 Mn |
API Access
Regal Rexnord Depreciation and Depletion 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=depreciation-and-depletion&ticker=RRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();