Monro (MNRO) Operating Leases (2019 - 2026)
Monro (MNRO) recorded Operating Leases of $156.21 million in fiscal Q4 2026 (quarter ended Mar 28, 2026), down 6.8% from $167.52 million a year earlier and down 3.1% from the prior quarter.
Monro (MNRO) Operating Leases (2019 - 2026) Analysis & Trends
Starting with fiscal Q1 2020, Monro's Operating Leases history includes 28 quarters.
- Annual Operating Leases has declined for four straight fiscal years, with a five-year compound annual growth rate of -2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $167.52 million in FY2025 (-7.9%), $181.85 million in FY2024 (-4.8%), $191.11 million in FY2023 (-0.8%) and $192.64 million in FY2022 (+8.4%).
- The fiscal Q4 2026 figure is the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined for 14 consecutive quarters, with an average decline of 7.1% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 10.5% in fiscal Q3 2022, against a decline of 9.8% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $161.2 million (Q3 2026), $156.72 million (Q2 2026) and $163.96 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Monro | 402.26 Mn | 364.45 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 156.21 Mn |
| Dec 27, 2025 | 161.20 Mn |
| Sep 27, 2025 | 156.72 Mn |
| Jun 28, 2025 | 163.96 Mn |
| Mar 29, 2025 | 167.52 Mn |
| Dec 28, 2024 | 168.07 Mn |
| Sep 28, 2024 | 173.73 Mn |
| Jun 29, 2024 | 179.19 Mn |
| Mar 30, 2024 | 181.85 Mn |
| Dec 23, 2023 | 184.78 Mn |
| Sep 23, 2023 | 184.16 Mn |
| Jun 24, 2023 | 188.62 Mn |
| Mar 25, 2023 | 191.11 Mn |
| Dec 24, 2022 | 191.20 Mn |
| Sep 24, 2022 | 193.66 Mn |
| Jun 25, 2022 | 189.97 Mn |
| Mar 26, 2022 | 192.64 Mn |
| Dec 25, 2021 | 201.08 Mn |
| Sep 25, 2021 | 192.50 Mn |
| Jun 26, 2021 | 197.57 Mn |
Monro Operating Leases 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=operating-leases&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();