Monro (MNRO) Goodwill & Intangibles (2009 - 2026)
Monro (MNRO) posted Goodwill & Intangibles of $742.95 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), down 0.3% from $745.47 million a year earlier and down 0.1% from the prior quarter.
Monro (MNRO) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Monro's Goodwill & Intangibles came in at $744.16 million, down 0.4% from FY2025.
- Annual Goodwill & Intangibles has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- In prior fiscal years, Monro's Goodwill & Intangibles was $746.83 million in FY2025 (-0.4%), $749.73 million in FY2024 (-0.4%), $753.02 million in FY2023 (-6.3%) and $803.4 million in FY2022 (+12.3%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Goodwill & Intangibles since fiscal Q4 2021.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 11 quarters, with an average decline of 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q3 2022, with growth of 12.3%; the weakest was fiscal Q3 2023, with a decline of 7.1%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $743.54 million (Q1 2027), $744.16 million (Q4 2026) and $744.81 million (Q3 2026).
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
| Date | Value |
|---|---|
| Sep 26, 2026 | 742.95 Mn |
| Jun 27, 2026 | 743.54 Mn |
| Mar 28, 2026 | 744.16 Mn |
| Dec 27, 2025 | 744.81 Mn |
| Sep 27, 2025 | 745.47 Mn |
| Jun 28, 2025 | 746.15 Mn |
| Mar 29, 2025 | 746.83 Mn |
| Dec 28, 2024 | 747.52 Mn |
| Sep 28, 2024 | 748.21 Mn |
| Jun 29, 2024 | 748.96 Mn |
| Mar 30, 2024 | 749.73 Mn |
| Dec 23, 2023 | 750.52 Mn |
| Sep 23, 2023 | 751.33 Mn |
| Jun 24, 2023 | 752.15 Mn |
| Mar 25, 2023 | 753.02 Mn |
| Dec 24, 2022 | 747.75 Mn |
| Sep 24, 2022 | 748.42 Mn |
| Jun 25, 2022 | 749.38 Mn |
| Mar 26, 2022 | 803.40 Mn |
| Dec 25, 2021 | 805.17 Mn |
Monro Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();