Monro (MNRO) Total Liabilities (2011 - 2026)
Monro's Total Liabilities was $976.5 million in fiscal Q4 2026 (quarter ended Mar 28, 2026), down 4.4% from $1.02 billion a year earlier but up 1.2% from the prior quarter.
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Analysis
Monro (MNRO) Total Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Monro has reported Total Liabilities for 61 quarters.
- Total Liabilities has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -1.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $1.02 billion in FY2025 (-1.4%), $1.04 billion in FY2024 (-4.2%), $1.08 billion in FY2023 (-0.6%) and $1.09 billion in FY2022 (+2.5%).
- Quarterly Total Liabilities has moved between $965.03 million (fiscal Q3 2026) and $1.13 billion (fiscal Q1 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with an average decline of 3.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2022 (growth of 2.5%); the worst was fiscal Q1 2023 (a decline of 7.7%).
- Per Business Quant data, MNRO's Total Liabilities in the three fiscal quarters before Q4 2026 was $965.03 million (Q3 2026), $982.32 million (Q2 2026) and $1 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Monro | 402.26 Mn | 364.45 Mn | - | 976.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 976.50 Mn |
| Dec 27, 2025 | 965.03 Mn |
| Sep 27, 2025 | 982.32 Mn |
| Jun 28, 2025 | 1.00 Bn |
| Mar 29, 2025 | 1.02 Bn |
| Dec 28, 2024 | 1.02 Bn |
| Sep 28, 2024 | 1.03 Bn |
| Jun 29, 2024 | 1.06 Bn |
| Mar 30, 2024 | 1.04 Bn |
| Dec 23, 2023 | 1.07 Bn |
| Sep 23, 2023 | 1.03 Bn |
| Jun 24, 2023 | 1.06 Bn |
| Mar 25, 2023 | 1.08 Bn |
| Dec 24, 2022 | 1.10 Bn |
| Sep 24, 2022 | 1.07 Bn |
| Jun 25, 2022 | 1.05 Bn |
| Mar 26, 2022 | 1.09 Bn |
| Dec 25, 2021 | 1.11 Bn |
| Sep 25, 2021 | 1.08 Bn |
| Jun 26, 2021 | 1.13 Bn |
API Access
Monro Total Liabilities 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-liabilities&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();