Monro (MNRO) Goodwill & Intangibles (2011 - 2026)
Monro (MNRO) posted Goodwill & Intangibles of $744.16 million for fiscal Q4 2026 (quarter ended Mar 28, 2026), down 0.4% from $746.83 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Monro (MNRO) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Monro has reported Goodwill & Intangibles for 61 quarters.
- 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 Q4 2026 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 nine 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 $744.81 million (Q3 2026), $745.47 million (Q2 2026) and $746.15 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | Monro | 420.88 Mn | 383.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 25, 2021 | 784.04 Mn |
| Jun 26, 2021 | 784.90 Mn |
API Access
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_KEYimport 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();