Monro (MNRO) Change in Taxes (2010 - 2026)
Monro (MNRO) recorded Change in Taxes of $525,000 in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 548.1% from $81,000 a year earlier and up 464.5% from the prior quarter.
Monro (MNRO) Change in Taxes (2010 - 2026) Analysis & Trends
On a TTM basis, Monro's Change in Taxes came in at -$403,000 as of Jun 27, 2026; for FY2026 (ended Mar 28, 2026), it came in at $172,000.
- Across earlier fiscal years, Change in Taxes came in at -$4.59 million in FY2025, $339,000 in FY2024, -$2.38 million in FY2023 and $13.77 million in FY2022.
- The fiscal Q1 2027 figure is the highest quarterly Change in Taxes since fiscal Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (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 | -552.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 18.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | - |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | -123.35 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | - |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 30.76 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 55.51 Mn |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 525,000.00 |
| Jun 28, 2025 | 81,000.00 |
| Dec 28, 2024 | -1.05 Mn |
| Sep 28, 2024 | -3.10 Mn |
| Jun 29, 2024 | 659,000.00 |
| Dec 23, 2023 | -788,000.00 |
| Sep 23, 2023 | -2.03 Mn |
| Jun 24, 2023 | 1.46 Mn |
| Dec 24, 2022 | -4.62 Mn |
| Sep 24, 2022 | -6.04 Mn |
| Jun 25, 2022 | 12.93 Mn |
| Dec 25, 2021 | 2.27 Mn |
| Sep 25, 2021 | 872,000.00 |
| Jun 26, 2021 | 7.76 Mn |
| Dec 26, 2020 | -76,000.00 |
| Sep 26, 2020 | 657,000.00 |
| Jun 27, 2020 | 711,000.00 |
| Dec 28, 2019 | 140,000.00 |
| Sep 28, 2019 | -1.79 Mn |
| Jun 29, 2019 | 5.59 Mn |
Monro Change in Taxes 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-taxes&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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-taxes&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();