Monro (MNRO) Acquisitions (2010 - 2023)
Monro (MNRO) recorded Acquisitions of $5.73 million in fiscal Q4 2023 (quarter ended Mar 25, 2023), compared with $166,000 a year earlier and up 791.3% from the prior quarter.
Monro (MNRO) Acquisitions (2010 - 2023) Analysis & Trends
For FY2023 (ended Mar 25, 2023), Monro reported Acquisitions of $6.69 million, down 92.0% from FY2022.
- Annual Acquisitions has a five-year compound annual growth rate of -22.2% (FY2018 to FY2023).
- Across earlier fiscal years, Acquisitions came in at $83.33 million in FY2022 (+385.8%), $17.15 million in FY2021 (-83.6%), $104.44 million in FY2020 (+67.3%) and $62.43 million in FY2019 (+166.3%).
- The fiscal Q4 2023 figure is the highest quarterly Acquisitions since fiscal Q3 2022.
- On a year-over-year basis, Acquisitions rose in two of the last five quarters, with an average decline of 48.0%.
- Peak year-over-year performance for Acquisitions in the last five years was growth of 593.0% in fiscal Q1 2019, against a decline of 99.6% in fiscal Q1 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $643,000 (Q3 2023), $70,000 (Q2 2023) and $241,000 (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 24.36 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 1.05 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | - |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 29.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Monro | 402.26 Mn | 364.45 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 25, 2023 | 5.73 Mn |
| Dec 24, 2022 | 643,000.00 |
| Sep 24, 2022 | 70,000.00 |
| Jun 25, 2022 | 241,000.00 |
| Mar 26, 2022 | 166,000.00 |
| Dec 25, 2021 | 20.90 Mn |
| Sep 25, 2021 | 211,000.00 |
| Jun 26, 2021 | 62.06 Mn |
| Mar 27, 2021 | -941,000.00 |
| Dec 26, 2020 | 17.70 Mn |
| Sep 26, 2020 | 200,000.00 |
| Jun 27, 2020 | 200,000.00 |
| Mar 28, 2020 | 182,000.00 |
| Dec 28, 2019 | 39.23 Mn |
| Sep 28, 2019 | 10.30 Mn |
| Jun 29, 2019 | 54.72 Mn |
| Mar 30, 2019 | 16.38 Mn |
| Dec 29, 2018 | 6.92 Mn |
| Sep 29, 2018 | 11.62 Mn |
| Jun 30, 2018 | 27.52 Mn |
Monro Acquisitions 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=acquisitions&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();