Monro (MNRO) Total Non-Current Liabilities (2011 - 2026)
Monro (MNRO) recorded Total Non-Current Liabilities of $965.38 million in fiscal Q4 2026 (quarter ended Mar 28, 2026), down 4.5% from $1.01 billion a year earlier but up 1.3% from the prior quarter.
Monro (MNRO) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Monro's Total Non-Current Liabilities history includes 61 quarters.
- Annual Total Non-Current Liabilities has declined for four straight fiscal years, with a five-year compound annual growth rate of -1.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $1.01 billion in FY2025 (-1.4%), $1.03 billion in FY2024 (-4.3%), $1.07 billion in FY2023 (-0.6%) and $1.08 billion in FY2022 (+3.1%).
- Quarterly Total Non-Current Liabilities has ranged from $953.43 million in fiscal Q3 2026 to $1.12 billion in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for six consecutive quarters, with an average decline of 3.4% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 3.1% in fiscal Q4 2022, against a decline of 7.3% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $953.43 million (Q3 2026), $971.04 million (Q2 2026) and $986.46 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Monro | 402.26 Mn | 364.45 Mn | - | 965.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 965.38 Mn |
| Dec 27, 2025 | 953.43 Mn |
| Sep 27, 2025 | 971.04 Mn |
| Jun 28, 2025 | 986.46 Mn |
| Mar 29, 2025 | 1.01 Bn |
| Dec 28, 2024 | 1.01 Bn |
| Sep 28, 2024 | 1.02 Bn |
| Jun 29, 2024 | 1.05 Bn |
| Mar 30, 2024 | 1.03 Bn |
| Dec 23, 2023 | 1.06 Bn |
| Sep 23, 2023 | 1.02 Bn |
| Jun 24, 2023 | 1.05 Bn |
| Mar 25, 2023 | 1.07 Bn |
| Dec 24, 2022 | 1.09 Bn |
| Sep 24, 2022 | 1.06 Bn |
| Jun 25, 2022 | 1.03 Bn |
| Mar 26, 2022 | 1.08 Bn |
| Dec 25, 2021 | 1.10 Bn |
| Sep 25, 2021 | 1.06 Bn |
| Jun 26, 2021 | 1.12 Bn |
Monro Total Non-Current 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-non-current-liabilities&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();