Monro (MNRO) Operating Income (2010 - 2026)
Monro's Operating Income was $2.59 million in fiscal Q2 2027 (quarter ended Sep 26, 2026), down 79.7% from $12.75 million a year earlier and down 29.9% from the prior quarter.
Monro (MNRO) Operating Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Monro's Operating Income was $19.64 million through Sep 26, 2026; for FY2026 (ended Mar 28, 2026), it was $20.03 million, up 59.4% from FY2025.
- Operating Income shows a five-year compound annual growth rate of -22.6% (FY2021 to FY2026).
- In earlier fiscal years, Operating Income was $12.57 million in FY2025 (-82.4%), $71.43 million in FY2024 (-10.4%), $79.75 million in FY2023 (-21.3%) and $101.3 million in FY2022 (+40.2%).
- Quarterly Operating Income has moved between -$23.85 million (fiscal Q4 2025) and $27.44 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Operating Income was higher in 1 of the last four quarters, with an average decline of 12.5%.
- The best year-over-year quarter for Operating Income over five years was fiscal Q3 2026 (growth of 86.4%); the worst was fiscal Q2 2027 (a decline of 79.7%).
- Per Business Quant data, MNRO's Operating Income in the three fiscal quarters before Q2 2027 was $3.7 million (Q1 2027), -$5.22 million (Q4 2026) and $18.57 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 28.08 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 714.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 1.10 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 2.56 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 1.10 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 1.32 Bn |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | 2.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 2.59 Mn |
| Jun 27, 2026 | 3.70 Mn |
| Dec 27, 2025 | 18.57 Mn |
| Sep 27, 2025 | 12.75 Mn |
| Jun 28, 2025 | -6.08 Mn |
| Mar 29, 2025 | -12.68 Mn |
| Dec 28, 2024 | 9.96 Mn |
| Sep 28, 2024 | 13.20 Mn |
| Jun 29, 2024 | 13.25 Mn |
| Mar 30, 2024 | 35.01 Mn |
| Dec 23, 2023 | 21.38 Mn |
| Sep 23, 2023 | 22.36 Mn |
| Jun 24, 2023 | 17.35 Mn |
| Mar 25, 2023 | 18.66 Mn |
| Dec 24, 2022 | 23.85 Mn |
| Sep 24, 2022 | 23.47 Mn |
| Jun 25, 2022 | 26.26 Mn |
| Mar 26, 2022 | 27.73 Mn |
| Dec 25, 2021 | 27.44 Mn |
| Sep 25, 2021 | 34.48 Mn |
Monro Operating Income 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-income&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();