Monro (MNRO) Retained Earnings (2011 - 2026)
Monro (MNRO) posted Retained Earnings of $581.66 million for fiscal Q4 2026 (quarter ended Mar 28, 2026), down 5.4% from $615.06 million a year earlier and down 2.6% from the prior quarter.
Monro (MNRO) Retained Earnings (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Monro has reported Retained Earnings for 61 quarters.
- Annual Retained Earnings shows a five-year compound annual growth rate of -1.4% (FY2021 to FY2026).
- In prior fiscal years, Monro's Retained Earnings was $615.06 million in FY2025 (-6.2%), $655.43 million in FY2024 (+0.3%), $653.55 million in FY2023 (+0.4%) and $651.12 million in FY2022 (+4.3%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Retained Earnings since fiscal Q2 2019.
- On a year-over-year basis, Retained Earnings has declined in each of the last eight quarters, with an average decline of 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q3 2022, with growth of 5.1%; the weakest was fiscal Q2 2026, with a decline of 8.4%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $597.18 million (Q3 2026), $595.04 million (Q2 2026) and $598.33 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 5.32 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | -3.42 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 10.89 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | -3.75 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 551.00 Mn |
| 10 | Monro | 427.18 Mn | 389.37 Mn | - | 581.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 581.66 Mn |
| Dec 27, 2025 | 597.18 Mn |
| Sep 27, 2025 | 595.04 Mn |
| Jun 28, 2025 | 598.33 Mn |
| Mar 29, 2025 | 615.06 Mn |
| Dec 28, 2024 | 645.05 Mn |
| Sep 28, 2024 | 649.29 Mn |
| Jun 29, 2024 | 652.48 Mn |
| Mar 30, 2024 | 655.43 Mn |
| Dec 23, 2023 | 660.44 Mn |
| Sep 23, 2023 | 657.08 Mn |
| Jun 24, 2023 | 653.43 Mn |
| Mar 25, 2023 | 653.55 Mn |
| Dec 24, 2022 | 662.12 Mn |
| Sep 24, 2022 | 658.07 Mn |
| Jun 25, 2022 | 654.10 Mn |
| Mar 26, 2022 | 651.12 Mn |
| Dec 25, 2021 | 651.39 Mn |
| Sep 25, 2021 | 643.98 Mn |
| Jun 26, 2021 | 631.88 Mn |
Monro Retained Earnings 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=retained-earnings&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();