RBC Bearings (RBC) Long-Term Debt Repayments (2013 - 2026)
RBC Bearings (RBC) recorded Long-Term Debt Repayments of $77 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), compared with $1.2 million a year earlier and down 33.0% from the prior quarter.
RBC Bearings (RBC) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
On a TTM basis, RBC Bearings' Long-Term Debt Repayments came in at $315.8 million as of Jun 27, 2026, up 55.4% year-over-year; for FY2026 (ended Mar 28, 2026), it was $240 million, down 8.4% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 122.5% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $262 million in FY2025 (+16.4%), $225 million in FY2024 (-25.0%), $300 million in FY2023 (+165.5%) and $113 million in FY2022.
- Quarterly Long-Term Debt Repayments has ranged from $1.09 million in fiscal Q3 2022 to $125 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last seven quarters, with growth averaging 18.1%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 192.0% in fiscal Q2 2026, against a decline of 98.0% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $115 million (Q4 2026), $80 million (Q3 2026) and $43.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 650.00 Mn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | RBC Bearings | 15.94 Bn | 15.56 Bn | 247.80 Mn | 79.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 79.40 Mn |
| Mar 28, 2026 | 116.40 Mn |
| Dec 27, 2025 | 81.30 Mn |
| Sep 27, 2025 | 46.30 Mn |
| Jun 28, 2025 | 2.30 Mn |
| Mar 29, 2025 | 88.10 Mn |
| Dec 28, 2024 | 101.20 Mn |
| Sep 28, 2024 | 16.20 Mn |
| Jun 29, 2024 | 62.20 Mn |
| Mar 30, 2024 | 76.30 Mn |
| Dec 30, 2023 | 61.00 Mn |
| Sep 30, 2023 | 40.80 Mn |
| Jul 1, 2023 | 52.10 Mn |
| Apr 1, 2023 | 70.20 Mn |
| Dec 31, 2022 | 61.00 Mn |
| Oct 1, 2022 | 46.30 Mn |
| Jul 2, 2022 | 126.20 Mn |
| Apr 2, 2022 | 104.09 Mn |
| Jan 1, 2022 | 1.89 Mn |
| Oct 2, 2021 | 3.24 Mn |
RBC Bearings 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=RBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RBC", "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=RBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();