Monro (MNRO) Inventory (2011 - 2026)
Monro's Inventory came in at $155.27 million for fiscal Q4 2026 (quarter ended Mar 28, 2026), down 14.4% from $181.47 million a year earlier but up 1.3% from the prior quarter.
Powered by 
Analysis
Monro (MNRO) Inventory (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Monro's Inventory data covers 61 quarters.
- Inventory carries a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $181.47 million in FY2025 (+17.8%), $154.09 million in FY2024 (+4.5%), $147.4 million in FY2023 (-11.4%) and $166.27 million in FY2022 (+2.5%).
- The five-year range for quarterly Inventory is $128.67 million (fiscal Q1 2023) to $181.47 million (fiscal Q4 2025).
- Year-over-year, Inventory has declined for three consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q4 2025 (growth of 17.8%), and the weakest in fiscal Q1 2023 (a decline of 23.2%).
- Business Quant data shows MNRO's Inventory at $153.28 million (Q3 2026), $160.68 million (Q2 2026) and $171.89 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Monro | 402.26 Mn | 364.45 Mn | - | 155.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 155.27 Mn |
| Dec 27, 2025 | 153.28 Mn |
| Sep 27, 2025 | 160.68 Mn |
| Jun 28, 2025 | 171.89 Mn |
| Mar 29, 2025 | 181.47 Mn |
| Dec 28, 2024 | 176.54 Mn |
| Sep 28, 2024 | 161.98 Mn |
| Jun 29, 2024 | 162.25 Mn |
| Mar 30, 2024 | 154.09 Mn |
| Dec 23, 2023 | 160.36 Mn |
| Sep 23, 2023 | 146.68 Mn |
| Jun 24, 2023 | 141.17 Mn |
| Mar 25, 2023 | 147.40 Mn |
| Dec 24, 2022 | 141.35 Mn |
| Sep 24, 2022 | 135.01 Mn |
| Jun 25, 2022 | 128.67 Mn |
| Mar 26, 2022 | 166.27 Mn |
| Dec 25, 2021 | 169.66 Mn |
| Sep 25, 2021 | 165.07 Mn |
| Jun 26, 2021 | 167.50 Mn |
API Access
Monro Inventory 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=inventory&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();