Monro (MNRO) Enterprise Value (2010 - 2026)
Monro (MNRO) reported Enterprise Value of $415.47 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), down 24.5% from $550.3 million a year earlier and down 21.4% from the prior quarter.
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Analysis
Monro (MNRO) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Monro's Enterprise Value came in at $386.4 million, down 24.5% year-over-year; for FY2026 (ended Mar 28, 2026), it was $449.86 million, down 1.4% from FY2025.
- Enterprise Value has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -27.1% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $456.35 million in FY2025 (-51.3%), $937 million in FY2024 (-38.9%), $1.53 billion in FY2023 (+4.1%) and $1.47 billion in FY2022 (-32.7%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Enterprise Value in data going back to fiscal Q1 2011.
- Year over year, Enterprise Value gained in 1 of the last eight quarters, with an average decline of 20.3%.
- The high point for year-over-year Enterprise Value in five years was fiscal Q1 2027 (growth of 22.4%); the low point was fiscal Q4 2025 (a decline of 51.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $528.84 million (Q1 2027), $449.86 million (Q4 2026) and $619.5 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn |
| 10 | Monro | 346.75 Mn | 302.72 Mn | 99.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 415.47 Mn |
| Jun 27, 2026 | 528.84 Mn |
| Mar 28, 2026 | 449.77 Mn |
| Dec 27, 2025 | 619.50 Mn |
| Sep 27, 2025 | 550.30 Mn |
| Jun 28, 2025 | 431.99 Mn |
| Mar 29, 2025 | 456.35 Mn |
| Dec 28, 2024 | 731.39 Mn |
| Sep 28, 2024 | 842.88 Mn |
| Jun 29, 2024 | 695.25 Mn |
| Mar 30, 2024 | 937.00 Mn |
| Dec 23, 2023 | 908.50 Mn |
| Sep 23, 2023 | 885.26 Mn |
| Jun 24, 2023 | 1.23 Bn |
| Mar 25, 2023 | 1.53 Bn |
| Dec 24, 2022 | 1.41 Bn |
| Sep 24, 2022 | 1.36 Bn |
| Jun 25, 2022 | 1.43 Bn |
| Mar 26, 2022 | 1.47 Bn |
| Dec 25, 2021 | 1.97 Bn |
API Access
Monro Enterprise Value 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=enterprise-value&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();