Monro (MNRO) Change in Accrued Expenses (2010 - 2026)
Monro's Change in Accrued Expenses came in at $6.48 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), up 8.8% from $5.96 million a year earlier.
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Analysis
Monro (MNRO) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Monro reported Change in Accrued Expenses of -$17.34 million; for FY2026 (ended Mar 28, 2026), it was $5.18 million.
- Change in Accrued Expenses carries a five-year compound annual growth rate of -24.7% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accrued Expenses was -$5.42 million in FY2025, $14.93 million in FY2024, -$2.65 million in FY2023 and -$3.98 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Change in Accrued Expenses since fiscal Q2 2025.
- Year-over-year, Change in Accrued Expenses increased in two of the last four quarters, with growth averaging 38.7%.
- Business Quant data shows MNRO's Change in Accrued Expenses at -$18.71 million (Q1 2027), $4.98 million (Q4 2026) and -$10.09 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | -3.85 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 113.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | -594,000.00 |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 595.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | - |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 111.08 Mn |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | 6.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 6.48 Mn |
| Jun 27, 2026 | -18.71 Mn |
| Dec 27, 2025 | -10.09 Mn |
| Sep 27, 2025 | 5.96 Mn |
| Jun 28, 2025 | 4.34 Mn |
| Dec 28, 2024 | -10.51 Mn |
| Sep 28, 2024 | 11.21 Mn |
| Jun 29, 2024 | -12.17 Mn |
| Dec 23, 2023 | 5.00 Mn |
| Sep 23, 2023 | -9.33 Mn |
| Jun 24, 2023 | 17.31 Mn |
| Dec 24, 2022 | -103,000.00 |
| Sep 24, 2022 | -6.20 Mn |
| Jun 25, 2022 | 11.63 Mn |
| Dec 25, 2021 | -2.94 Mn |
| Sep 25, 2021 | -9.94 Mn |
| Jun 26, 2021 | 15.65 Mn |
| Dec 26, 2020 | 3.56 Mn |
| Sep 26, 2020 | -5.50 Mn |
| Jun 27, 2020 | 17.56 Mn |
API Access
Monro Change in Accrued 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=change-in-accured-expenses&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();