Monro (MNRO) Cash from Operations (2010 - 2025)
Monro's Cash from Operations came in at $17.82 million for fiscal Q3 2026 (quarter ended Dec 27, 2025), up 20.5% from $14.79 million a year earlier but down 44.9% from the prior quarter.
Monro (MNRO) Cash from Operations (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 27, 2025, Monro reported Cash from Operations of $77.14 million, down 21.1% year-over-year; for FY2025 (ended Mar 29, 2025), it was $131.91 million, up 5.4% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Going back by fiscal year, Cash from Operations was $125.2 million in FY2024 (-41.8%), $215.02 million in FY2023 (+23.7%), $173.76 million in FY2022 (-6.0%) and $184.91 million in FY2021 (+52.4%).
- The five-year range for quarterly Cash from Operations is -$5.27 million (fiscal Q4 2024) to $77.21 million (fiscal Q1 2023).
- Year-over-year, Cash from Operations increased in two of the last five quarters, with an average decline of 2.1%.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q2 2025 (growth of 135.4%), and the weakest in fiscal Q1 2025 (a decline of 64.3%).
- Business Quant data shows MNRO's Cash from Operations at $32.34 million (Q2 2026), -$1.94 million (Q1 2026) and $28.92 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 801.99 Mn |
| 10 | Monro | 420.88 Mn | 383.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 17.82 Mn |
| Sep 27, 2025 | 32.34 Mn |
| Jun 28, 2025 | -1.94 Mn |
| Mar 29, 2025 | 28.92 Mn |
| Dec 28, 2024 | 14.79 Mn |
| Sep 28, 2024 | 62.56 Mn |
| Jun 29, 2024 | 25.64 Mn |
| Mar 30, 2024 | -5.27 Mn |
| Dec 23, 2023 | 32.16 Mn |
| Sep 23, 2023 | 26.58 Mn |
| Jun 24, 2023 | 71.73 Mn |
| Mar 25, 2023 | 43.83 Mn |
| Dec 24, 2022 | 50.90 Mn |
| Sep 24, 2022 | 43.08 Mn |
| Jun 25, 2022 | 77.21 Mn |
| Mar 26, 2022 | 46.52 Mn |
| Dec 25, 2021 | 24.92 Mn |
| Sep 25, 2021 | 39.60 Mn |
| Jun 26, 2021 | 62.71 Mn |
| Mar 27, 2021 | 25.69 Mn |
Monro Cash from Operations 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-from-operations&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();