Monro (MNRO) Other Accumulated Expenses (2011 - 2026)
Monro (MNRO) posted Other Accumulated Expenses of $58.24 million for fiscal Q4 2026 (quarter ended Mar 28, 2026), up 10.2% from $52.82 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Monro (MNRO) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Monro has reported Other Accumulated Expenses for 61 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- In prior fiscal years, Monro's Other Accumulated Expenses was $52.82 million in FY2025 (-4.9%), $55.55 million in FY2024 (+16.4%), $47.74 million in FY2023 (-3.3%) and $49.39 million in FY2022 (-0.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly Other Accumulated Expenses since fiscal Q2 2025.
- On a year-over-year basis, Other Accumulated Expenses increased in five of the last eight quarters, with growth averaging 4.4%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q1 2022, with growth of 24.1%; the weakest was fiscal Q3 2023, with a decline of 6.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $57.61 million (Q3 2026), $57.99 million (Q2 2026) and $57.33 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Monro | 425.68 Mn | 387.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 58.24 Mn |
| Dec 27, 2025 | 57.61 Mn |
| Sep 27, 2025 | 57.99 Mn |
| Jun 28, 2025 | 57.33 Mn |
| Mar 29, 2025 | 52.82 Mn |
| Dec 28, 2024 | 55.77 Mn |
| Sep 28, 2024 | 59.15 Mn |
| Jun 29, 2024 | 53.37 Mn |
| Mar 30, 2024 | 55.55 Mn |
| Dec 23, 2023 | 53.60 Mn |
| Sep 23, 2023 | 50.55 Mn |
| Jun 24, 2023 | 53.41 Mn |
| Mar 25, 2023 | 47.74 Mn |
| Dec 24, 2022 | 49.49 Mn |
| Sep 24, 2022 | 52.02 Mn |
| Jun 25, 2022 | 51.25 Mn |
| Mar 26, 2022 | 49.39 Mn |
| Dec 25, 2021 | 52.91 Mn |
| Sep 25, 2021 | 49.22 Mn |
| Jun 26, 2021 | 52.68 Mn |
API Access
Monro Other Accumulated Expenses 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=other-accumulated-expenses&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();