Monro (MNRO) Property, Plant & Equipment (Net) (2009 - 2026)
Monro (MNRO) reported Property, Plant & Equipment (Net) of $234.75 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), down 2.5% from $240.66 million a year earlier and down 1.9% from the prior quarter.
Monro (MNRO) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Monro posted Property, Plant & Equipment (Net) of $241.86 million, down 6.6% from FY2025.
- Property, Plant & Equipment (Net) has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -5.9% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $258.95 million in FY2025 (-7.6%), $280.15 million in FY2024 (-8.1%), $304.99 million in FY2023 (-3.2%) and $315.19 million in FY2022 (-3.6%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2013.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 23 quarters, with an average decline of 7.2% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 1.1% in fiscal Q1 2027 to 12.3% in fiscal Q1 2026.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $239.35 million (Q1 2027), $241.86 million (Q4 2026) and $240.84 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 508.86 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 2.91 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 4.26 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 34.77 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 6.73 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 8.06 Bn |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | 234.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 234.75 Mn |
| Jun 27, 2026 | 239.35 Mn |
| Mar 28, 2026 | 241.86 Mn |
| Dec 27, 2025 | 240.84 Mn |
| Sep 27, 2025 | 240.66 Mn |
| Jun 28, 2025 | 242.12 Mn |
| Mar 29, 2025 | 258.95 Mn |
| Dec 28, 2024 | 268.59 Mn |
| Sep 28, 2024 | 272.52 Mn |
| Jun 29, 2024 | 276.12 Mn |
| Mar 30, 2024 | 280.15 Mn |
| Dec 23, 2023 | 284.56 Mn |
| Sep 23, 2023 | 289.57 Mn |
| Jun 24, 2023 | 300.10 Mn |
| Mar 25, 2023 | 304.99 Mn |
| Dec 24, 2022 | 307.43 Mn |
| Sep 24, 2022 | 307.59 Mn |
| Jun 25, 2022 | 307.93 Mn |
| Mar 26, 2022 | 315.19 Mn |
| Dec 25, 2021 | 315.30 Mn |
Monro Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();