Monro (MNRO) Capital Expenditures (2010 - 2025)
Monro's Capital Expenditures was $8.7 million in fiscal Q3 2026 (quarter ended Dec 27, 2025), up 26.5% from $6.88 million a year earlier and up 51.9% from the prior quarter.
Monro (MNRO) Capital Expenditures (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Monro's Capital Expenditures was $27.51 million through Dec 27, 2025, up 0.9% year-over-year; for FY2025 (ended Mar 29, 2025), it came in at $26.36 million, up 3.5% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -14.0% (FY2020 to FY2025).
- In earlier fiscal years, Capital Expenditures was $25.48 million in FY2024 (-34.6%), $38.99 million in FY2023 (+40.1%), $27.83 million in FY2022 (-46.2%) and $51.73 million in FY2021 (-7.5%).
- The fiscal Q3 2026 figure marks the highest quarterly Capital Expenditures since fiscal Q1 2025.
- Compared with a year earlier, Capital Expenditures was higher in four of the last eight quarters, with growth averaging 8.5%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q2 2023 (growth of 134.6%); the worst was fiscal Q1 2022 (a decline of 66.0%).
- Per Business Quant data, MNRO's Capital Expenditures in the three fiscal quarters before Q3 2026 was $5.73 million (Q2 2026), $7.4 million (Q1 2026) and $5.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 345.51 Mn |
| 10 | Monro | 419.98 Mn | 382.16 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 8.70 Mn |
| Sep 27, 2025 | 5.73 Mn |
| Jun 28, 2025 | 7.40 Mn |
| Mar 29, 2025 | 5.69 Mn |
| Dec 28, 2024 | 6.88 Mn |
| Sep 28, 2024 | 4.92 Mn |
| Jun 29, 2024 | 8.88 Mn |
| Mar 30, 2024 | 6.59 Mn |
| Dec 23, 2023 | 3.19 Mn |
| Sep 23, 2023 | 8.03 Mn |
| Jun 24, 2023 | 7.68 Mn |
| Mar 25, 2023 | 10.46 Mn |
| Dec 24, 2022 | 8.95 Mn |
| Sep 24, 2022 | 11.37 Mn |
| Jun 25, 2022 | 8.21 Mn |
| Mar 26, 2022 | 10.39 Mn |
| Dec 25, 2021 | 7.40 Mn |
| Sep 25, 2021 | 4.85 Mn |
| Jun 26, 2021 | 5.20 Mn |
| Mar 27, 2021 | 12.51 Mn |
Monro Capital Expenditures 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=capital-expenditures&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();