Monro (MNRO) Return on Assets [ROA] (2011 - 2025)
Monro (MNRO) recorded Return on Assets [ROA] of -0.79% in fiscal Q3 2026 (quarter ended Dec 27, 2025), down 1.98 percentage points from 1.18% a year earlier but up 0.40 percentage points from the prior quarter.
Monro (MNRO) Return on Assets [ROA] (2011 - 2025) Analysis & Trends
For FY2025 (ended Mar 29, 2025), Monro reported Return on Assets [ROA] of -0.31%, down 2.48 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of -3.76 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Assets [ROA] came in at 2.17% in FY2024 (+0.03 pp), 2.14% in FY2023 (-1.20 pp), 3.34% in FY2022 (+1.57 pp) and 1.78% in FY2021 (-1.67 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 declined for six consecutive quarters, with an average year-over-year change of -1.46 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 -1.20% (Q2 2026), -1.18% (Q1 2026) and -0.31% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98% |
| 10 | Monro | 419.98 Mn | 382.16 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | -0.79% |
| Sep 27, 2025 | -1.20% |
| Jun 28, 2025 | -1.18% |
| Mar 29, 2025 | -0.31% |
| Dec 28, 2024 | 1.18% |
| Sep 28, 2024 | 1.61% |
| Jun 29, 2024 | 2.03% |
| Mar 30, 2024 | 2.19% |
| Dec 23, 2023 | 1.98% |
| Sep 23, 2023 | 2.02% |
| Jun 24, 2023 | 2.00% |
| Mar 25, 2023 | 2.18% |
| Dec 24, 2022 | 2.63% |
| Sep 24, 2022 | 2.80% |
| Jun 25, 2022 | 3.17% |
| Mar 26, 2022 | 3.27% |
| Dec 25, 2021 | 3.46% |
| Sep 25, 2021 | 2.95% |
| Jun 26, 2021 | 2.54% |
| Mar 27, 2021 | 1.88% |
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();