Monro (MNRO) Cost of Revenue (2010 - 2025)
Monro (MNRO) reported Cost of Revenue of $191.02 million for fiscal Q3 2026 (quarter ended Dec 27, 2025), down 4.9% from $200.97 million a year earlier but up 2.8% from the prior quarter.
Monro (MNRO) Cost of Revenue (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 27, 2025, Monro's Cost of Revenue came in at $768.66 million, down 1.5% year-over-year; for FY2025 (ended Mar 29, 2025), it was $777.69 million, down 5.7% from FY2024.
- Cost of Revenue has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $824.69 million in FY2024 (-5.1%), $869.21 million in FY2023 (-0.9%), $877.49 million in FY2022 (+20.1%) and $730.53 million in FY2021 (-6.3%).
- Five-year quarterly Cost of Revenue spans a low of $184 million in fiscal Q1 2025 and a high of $227.35 million in fiscal Q1 2023.
- Year over year, Cost of Revenue gained in 1 of the last eight quarters, with an average decline of 3.7%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q1 2022 (growth of 35.3%); the low point was fiscal Q1 2025 (a decline of 13.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $185.8 million (Q2 2026), $194.13 million (Q1 2026) and $197.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Monro | 425.68 Mn | 387.86 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 191.02 Mn |
| Sep 27, 2025 | 185.80 Mn |
| Jun 28, 2025 | 194.13 Mn |
| Mar 29, 2025 | 197.71 Mn |
| Dec 28, 2024 | 200.97 Mn |
| Sep 28, 2024 | 195.01 Mn |
| Jun 29, 2024 | 184.00 Mn |
| Mar 30, 2024 | 200.02 Mn |
| Dec 23, 2023 | 204.98 Mn |
| Sep 23, 2023 | 207.12 Mn |
| Jun 24, 2023 | 212.57 Mn |
| Mar 25, 2023 | 207.04 Mn |
| Dec 24, 2022 | 221.74 Mn |
| Sep 24, 2022 | 213.08 Mn |
| Jun 25, 2022 | 227.35 Mn |
| Mar 26, 2022 | 223.39 Mn |
| Dec 25, 2021 | 221.20 Mn |
| Sep 25, 2021 | 217.02 Mn |
| Jun 26, 2021 | 215.89 Mn |
| Mar 27, 2021 | 198.41 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();