Monro (MNRO) Total Debt (2011 - 2026)
Monro (MNRO) posted Total Debt of $136.34 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), up 38.1% from $98.73 million a year earlier but down 6.2% from the prior quarter.
Monro (MNRO) Total Debt (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Monro's Total Debt came in at $96.77 million, down 4.2% from FY2025.
- Annual Total Debt has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -15.7% (FY2021 to FY2026).
- In prior fiscal years, Monro's Total Debt was $100.99 million in FY2025 (-28.0%), $140.23 million in FY2024 (-3.3%), $144.98 million in FY2023 (-33.7%) and $218.56 million in FY2022 (-4.1%).
- Quarterly Total Debt has run from a low of $81.76 million in fiscal Q3 2026 to a high of $236.19 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Total Debt increased in two of the last eight quarters, with an average decline of 4.2%.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q1 2025, with growth of 42.9%; the weakest was fiscal Q2 2024, with a decline of 44.6%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $145.31 million (Q1 2027), $96.77 million (Q4 2026) and $81.76 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 173.13 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 52.90 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 2.87 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 37.56 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 7.01 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 15.36 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 5.23 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 9.13 Bn |
| 10 | Monro | 346.75 Mn | 302.72 Mn | 99.95 Mn | 136.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 136.34 Mn |
| Jun 27, 2026 | 145.31 Mn |
| Mar 28, 2026 | 96.77 Mn |
| Dec 27, 2025 | 81.76 Mn |
| Sep 27, 2025 | 98.73 Mn |
| Jun 28, 2025 | 110.32 Mn |
| Mar 29, 2025 | 100.99 Mn |
| Dec 28, 2024 | 97.91 Mn |
| Sep 28, 2024 | 101.18 Mn |
| Jun 29, 2024 | 149.92 Mn |
| Mar 30, 2024 | 140.23 Mn |
| Dec 23, 2023 | 132.86 Mn |
| Sep 23, 2023 | 94.46 Mn |
| Jun 24, 2023 | 104.95 Mn |
| Mar 25, 2023 | 144.98 Mn |
| Dec 24, 2022 | 170.10 Mn |
| Sep 24, 2022 | 170.43 Mn |
| Jun 25, 2022 | 151.21 Mn |
| Mar 26, 2022 | 218.56 Mn |
| Dec 25, 2021 | 236.19 Mn |
Monro Total Debt 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=total-debt&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();