Motorcar Parts Of America (MPAA) Acquisitions (2010 - 2019)
Motorcar Parts Of America's Acquisitions came in at $6.69 million for fiscal Q4 2019 (quarter ended Mar 31, 2019), up 51.4% from the prior quarter.
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Analysis
Motorcar Parts Of America (MPAA) Acquisitions (2010 - 2019) Analysis & Trends
For FY2019 (ended Mar 31, 2019), Motorcar Parts Of America's Acquisitions was $11.11 million, up 122.4% from FY2018.
- Acquisitions carries a three-year compound annual growth rate of 60.2% (FY2016 to FY2019).
- Going back by fiscal year, Acquisitions was $4.99 million in FY2018 (+608.2%), $705,000 in FY2017 (-73.9%) and $2.7 million in FY2016.
- The fiscal Q4 2019 figure represents the highest quarterly Acquisitions in data going back to fiscal Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | - |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | - |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | - |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | - |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | - |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | - |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | - |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | - |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | - |
| 10 | Motorcar Parts Of America | 142.02 Mn | 66.63 Mn | 27.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 6.69 Mn |
| Dec 31, 2018 | 4.42 Mn |
| Dec 31, 2017 | 19,000.00 |
| Dec 31, 2016 | 105,000.00 |
| Sep 30, 2016 | 600,000.00 |
| Dec 31, 2015 | -499,000.00 |
| Jun 30, 2015 | 3.20 Mn |
| Jun 30, 2010 | 464,000.00 |
API Access
Motorcar Parts Of America 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=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "MPAA", "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=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();