Monro (MNRO) Long-Term Debt Repayments (2010 - 2025)
Monro's Long-Term Debt Repayments was $9.02 million in fiscal Q3 2026 (quarter ended Dec 27, 2025), down 8.3% from $9.83 million a year earlier and down 3.3% from the prior quarter.
Powered by 
Analysis
Monro (MNRO) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Monro's Long-Term Debt Repayments was $38.02 million through Dec 27, 2025; for FY2025 (ended Mar 29, 2025), it came in at $39.76 million, up 1.9% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -37.4% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $39.03 million in FY2024 (-1.3%), $39.54 million in FY2023 (-82.0%), $219.22 million in FY2022 (-46.5%) and $409.78 million in FY2021 (-0.7%).
- The fiscal Q3 2026 figure marks the lowest quarterly Long-Term Debt Repayments since fiscal Q4 2024.
- Compared with a year earlier, Long-Term Debt Repayments has declined for three straight quarters, with an average decline of 41.1% over the last six quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q4 2022 (growth of 505.2%); the worst was fiscal Q4 2021 (a decline of 90.5%).
- Per Business Quant data, MNRO's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $9.32 million (Q2 2026), $9.76 million (Q1 2026) and $9.92 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Monro | 427.18 Mn | 389.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 9.02 Mn |
| Sep 27, 2025 | 9.32 Mn |
| Jun 28, 2025 | 9.76 Mn |
| Mar 29, 2025 | 9.92 Mn |
| Dec 28, 2024 | 9.83 Mn |
| Sep 28, 2024 | 10.09 Mn |
| Jun 29, 2024 | 9.92 Mn |
| Mar 30, 2024 | -100.47 Mn |
| Dec 23, 2023 | 30.60 Mn |
| Sep 23, 2023 | 42.38 Mn |
| Jun 24, 2023 | 66.51 Mn |
| Mar 25, 2023 | -175.90 Mn |
| Dec 24, 2022 | 46.68 Mn |
| Sep 24, 2022 | 48.17 Mn |
| Jun 25, 2022 | 120.59 Mn |
| Mar 26, 2022 | 55.23 Mn |
| Dec 25, 2021 | 27.50 Mn |
| Sep 25, 2021 | 57.83 Mn |
| Jun 26, 2021 | 78.66 Mn |
| Mar 27, 2021 | 9.13 Mn |
API Access
Monro 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=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MNRO", "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=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();