Tesla (TSLA) Acquisitions (2017 - 2023)
Tesla's (TSLA) quarterly Acquisitions came in at -$12.0 million in Q3 2023, down 115.79% quarter-over-quarter from $76.0 million in Q3 2019.
Tesla (TSLA) Acquisitions (2017 - 2023) Analysis & Trends
Tesla has disclosed Acquisitions across 4 years of filings, most recently posting -$12.0 million for Q3 2023.
- In Q3 2023, Acquisitions changed N/A year-over-year to -$12.0 million; the TTM figure through Dec 2024 stood at -$12.0 million (changed 0.0% YoY), while the FY2023 annual figure was $64.0 million, changed N/A from the prior year.
- Acquisitions came in at -$12.0 million for Q3 2023 at Tesla, down from $76.0 million in the prior quarter.
- In the past five years, Acquisitions ranged from a high of $76.0 million in Q3 2019 to a low of -$32.0 million in Q2 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | - |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | - |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | - |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | - |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | - |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -12.00 Mn |
| Sep 30, 2019 | 76.00 Mn |
| Jun 30, 2019 | -32.00 Mn |
| Mar 31, 2019 | 1.00 Mn |
| Dec 31, 2018 | 11.00 Mn |
| Sep 30, 2018 | 1.40 Mn |
| Dec 31, 2017 | 5.85 Mn |
| Mar 31, 2017 | 109.15 Mn |
Tesla 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=TSLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "TSLA", "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=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();