Regal Rexnord (RRX) Long-Term Debt Repayments (2010 - 2026)
Regal Rexnord's Long-Term Debt Repayments was $10.2 million in Q2 2026, down 97.9% from $487.1 million a year earlier and down 99.1% from the prior quarter.
Regal Rexnord (RRX) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Regal Rexnord's Long-Term Debt Repayments was $1.79 billion through Jun 30, 2026, up 15.1% year-over-year; for FY2025, it came in at $1.55 billion, down 7.7% from FY2024.
- Long-Term Debt Repayments shows a four-year compound annual growth rate of 20.4% (FY2021 to FY2025).
- In earlier years, Long-Term Debt Repayments was $1.68 billion in FY2024 (-35.8%), $2.63 billion in FY2023 (+8.1%), $2.43 billion in FY2022 (+228.5%) and $739 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Repayments since Q4 2021.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last eight quarters, with growth averaging 2.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2026 (growth of 182.6%); the worst was Q2 2026 (a decline of 97.9%).
- Per Business Quant data, RRX's Long-Term Debt Repayments in the three quarters before Q2 2026 was $1.1 billion (Q1 2026), $371.2 million (Q4 2025) and $306.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 10.00 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 650.00 Mn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 1.42 Bn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | - |
| 10 | Regal Rexnord | 9.89 Bn | 8.13 Bn | 611.60 Mn | 722.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 722.20 Mn |
| Mar 31, 2026 | 1.49 Bn |
| Dec 31, 2025 | 372.20 Mn |
| Sep 30, 2025 | 358.00 Mn |
| Jun 30, 2025 | 918.10 Mn |
| Mar 31, 2025 | 575.60 Mn |
| Dec 31, 2024 | 516.10 Mn |
| Sep 30, 2024 | 495.30 Mn |
| Jun 30, 2024 | 921.00 Mn |
| Mar 31, 2024 | 632.60 Mn |
| Dec 31, 2023 | 612.80 Mn |
| Sep 30, 2023 | 575.70 Mn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 1.14 Bn |
| Dec 31, 2022 | 501.20 Mn |
| Sep 30, 2022 | 243.20 Mn |
| Jun 30, 2022 | 576.90 Mn |
| Mar 31, 2022 | 2.23 Bn |
| Jan 1, 2022 | 224.10 Mn |
| Apr 3, 2021 | 190.80 Mn |
Regal Rexnord Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();