Monro (MNRO) Return on Capital Employed [ROCE] (2011 - 2025)
Monro's Return on Capital Employed [ROCE] was 0.13% in fiscal Q3 2026 (quarter ended Dec 27, 2025), down 3.87 percentage points from 4.00% a year earlier but up 0.80 percentage points from the prior quarter.
Monro (MNRO) Return on Capital Employed [ROCE] (2011 - 2025) Analysis & Trends
For FY2025 (ended Mar 29, 2025), Return on Capital Employed [ROCE] at Monro came in at 1.10%, down 4.48 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive fiscal years, with a five-year change of -6.03 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 5.58% in FY2024 (-0.22 pp), 5.80% in FY2023 (-0.87 pp), 6.67% in FY2022 (+2.26 pp) and 4.40% in FY2021 (-2.73 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -0.67% (fiscal Q2 2026) and 7.09% (fiscal Q3 2022) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for 14 straight quarters, with an average year-over-year change of -2.80 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q3 2022 (a gain of 3.69 percentage points); the worst was fiscal Q1 2026 (a drop of 6.06 percentage points).
- Per Business Quant data, MNRO's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was -0.67% (Q2 2026), -0.60% (Q1 2026) and 1.11% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 30.02% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 30.97% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 15.67% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 47.86% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 18.45% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 33.85% |
| 10 | Monro | 420.88 Mn | 383.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 0.13% |
| Sep 27, 2025 | -0.67% |
| Jun 28, 2025 | -0.60% |
| Mar 29, 2025 | 1.11% |
| Dec 28, 2024 | 4.00% |
| Sep 28, 2024 | 4.87% |
| Jun 29, 2024 | 5.46% |
| Mar 30, 2024 | 5.68% |
| Dec 23, 2023 | 5.41% |
| Sep 23, 2023 | 5.50% |
| Jun 24, 2023 | 5.51% |
| Mar 25, 2023 | 5.96% |
| Dec 24, 2022 | 6.22% |
| Sep 24, 2022 | 6.25% |
| Jun 25, 2022 | 6.76% |
| Mar 26, 2022 | 6.50% |
| Dec 25, 2021 | 7.09% |
| Sep 25, 2021 | 6.33% |
| Jun 26, 2021 | 5.80% |
| Mar 27, 2021 | 4.72% |
Monro Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();