Monro (MNRO) Return on Assets [ROA] (2010 - 2026)
Monro (MNRO) recorded Return on Assets [ROA] of 0.05% in fiscal Q2 2027 (quarter ended Sep 26, 2026), up 1.25 percentage points from -1.20% a year earlier but down 0.47 percentage points from the prior quarter.
Monro (MNRO) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), Monro reported Return on Assets [ROA] of 0.14%, up 0.45 percentage points from FY2025.
- Annual Return on Assets [ROA] has a five-year change of -1.64 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at -0.31% in FY2025 (-2.48 pp), 2.17% in FY2024 (+0.03 pp), 2.14% in FY2023 (-1.20 pp) and 3.34% in FY2022 (+1.57 pp).
- Quarterly Return on Assets [ROA] has ranged from -1.20% in fiscal Q2 2026 to 3.46% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has increased for three consecutive quarters, with an average year-over-year change of -0.99 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 2.44 percentage points in fiscal Q3 2022, against a drop of 3.21 percentage points in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 0.52% (Q1 2027), 0.14% (Q4 2026) and -0.79% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 11.53% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 11.99% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 15.81% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 16.86% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 7.42% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 15.49% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 12.09% |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | 0.90% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 0.90% |
| Jun 27, 2026 | 0.48% |
| Dec 27, 2025 | -0.33% |
| Sep 27, 2025 | -0.73% |
| Jun 28, 2025 | -0.72% |
| Mar 29, 2025 | 0.14% |
| Dec 28, 2024 | 2.28% |
| Sep 28, 2024 | 2.70% |
| Jun 29, 2024 | 3.12% |
| Mar 30, 2024 | 3.28% |
| Dec 23, 2023 | 2.28% |
| Sep 23, 2023 | 2.30% |
| Jun 24, 2023 | 2.27% |
| Mar 25, 2023 | 2.44% |
| Dec 24, 2022 | 3.44% |
| Sep 24, 2022 | 3.60% |
| Jun 25, 2022 | 3.95% |
| Mar 26, 2022 | 4.04% |
| Dec 25, 2021 | 1.96% |
| Sep 25, 2021 | 1.44% |
Monro Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();