Monro (MNRO) Cost of Revenue (2010 - 2026)
Monro (MNRO) reported Cost of Revenue of $183.69 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), down 1.1% from $185.8 million a year earlier and down 1.6% from the prior quarter.
Monro (MNRO) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Monro's Cost of Revenue came in at $742.41 million, down 4.6% year-over-year; for FY2026 (ended Mar 28, 2026), it was $751.92 million, down 3.3% from FY2025.
- Cost of Revenue has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 0.6% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $777.69 million in FY2025 (-5.7%), $824.69 million in FY2024 (-5.1%), $869.21 million in FY2023 (-0.9%) and $877.49 million in FY2022 (+20.1%).
- Five-year quarterly Cost of Revenue spans a low of $180.97 million in fiscal Q4 2026 and a high of $227.35 million in fiscal Q1 2023.
- Year over year, Cost of Revenue has now declined in each of the last five quarters, with an average decline of 2.6% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2022 (growth of 17.4%); the low point was fiscal Q1 2025 (a decline of 13.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $186.73 million (Q1 2027), $180.97 million (Q4 2026) and $191.02 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 94.57 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 6.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 17.60 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 2.44 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 3.08 Bn |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | 183.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 183.69 Mn |
| Jun 27, 2026 | 186.73 Mn |
| Dec 27, 2025 | 191.02 Mn |
| Sep 27, 2025 | 185.80 Mn |
| Jun 28, 2025 | 194.13 Mn |
| Mar 29, 2025 | 206.74 Mn |
| Dec 28, 2024 | 200.97 Mn |
| Sep 28, 2024 | 195.01 Mn |
| Jun 29, 2024 | 184.00 Mn |
| Mar 30, 2024 | 244.71 Mn |
| Dec 23, 2023 | 204.98 Mn |
| Sep 23, 2023 | 207.12 Mn |
| Jun 24, 2023 | 212.57 Mn |
| Mar 25, 2023 | 244.54 Mn |
| Dec 24, 2022 | 221.74 Mn |
| Sep 24, 2022 | 213.08 Mn |
| Jun 25, 2022 | 227.35 Mn |
| Mar 26, 2022 | 215.32 Mn |
| Dec 25, 2021 | 221.20 Mn |
| Sep 25, 2021 | 217.02 Mn |
Monro Cost of Revenue 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=cost-of-revenue&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();