Monro (MNRO) Other Accumulated Expenses (2009 - 2026)
Monro (MNRO) posted Other Accumulated Expenses of $48.07 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), down 17.1% from $57.99 million a year earlier and down 2.1% from the prior quarter.
Powered by 
Analysis
Monro (MNRO) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Monro's Other Accumulated Expenses came in at $58.24 million, up 10.2% from FY2025.
- 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 Q2 2027 figure stands as the lowest quarterly Other Accumulated Expenses since fiscal Q4 2023.
- On a year-over-year basis, Other Accumulated Expenses increased in four of the last eight quarters, with an average decline of 1.7%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q2 2025, with growth of 17.0%; the weakest was fiscal Q2 2027, with a decline of 17.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $49.08 million (Q1 2027), $58.24 million (Q4 2026) and $57.61 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 48.07 Mn |
| Jun 27, 2026 | 49.08 Mn |
| 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 |
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();