Monro (MNRO) Cash & Equivalents (2010 - 2026)
Monro (MNRO) recorded Cash & Equivalents of $14.63 million in fiscal Q4 2026 (quarter ended Mar 28, 2026), down 29.5% from $20.76 million a year earlier but up 197.9% from the prior quarter.
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Analysis
Monro (MNRO) Cash & Equivalents (2010 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, Monro's Cash & Equivalents history includes 64 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -13.4% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $20.76 million in FY2025 (+216.4%), $6.56 million in FY2024 (+34.3%), $4.88 million in FY2023 (-38.6%) and $7.95 million in FY2022 (-73.5%).
- Quarterly Cash & Equivalents has ranged from $4.88 million in fiscal Q4 2023 to $30.65 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for four consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 216.4% in fiscal Q4 2025, against a decline of 91.8% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.91 million (Q3 2026), $10.47 million (Q2 2026) and $7.8 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 4.29 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 | 262.18 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Monro | 420.88 Mn | 383.06 Mn | - | 14.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 14.63 Mn |
| Dec 27, 2025 | 4.91 Mn |
| Sep 27, 2025 | 10.47 Mn |
| Jun 28, 2025 | 7.80 Mn |
| Mar 29, 2025 | 20.76 Mn |
| Dec 28, 2024 | 10.16 Mn |
| Sep 28, 2024 | 20.86 Mn |
| Jun 29, 2024 | 18.67 Mn |
| Mar 30, 2024 | 6.56 Mn |
| Dec 23, 2023 | 23.85 Mn |
| Sep 23, 2023 | 9.05 Mn |
| Jun 24, 2023 | 15.32 Mn |
| Mar 25, 2023 | 4.88 Mn |
| Dec 24, 2022 | 13.00 Mn |
| Sep 24, 2022 | 9.79 Mn |
| Jun 25, 2022 | 30.65 Mn |
| Mar 26, 2022 | 7.95 Mn |
| Dec 25, 2021 | 9.51 Mn |
| Sep 25, 2021 | 6.64 Mn |
| Jun 26, 2021 | 16.88 Mn |
API Access
Monro Cash & Equivalents 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=cash-and-equivalents&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();