Tesla (TSLA) Other Accumulated Expenses (2010 - 2023)
Tesla's (TSLA) quarterly Other Accumulated Expenses came in at $370.0 million in Q2 2023, up 9.79% year-over-year from $337.0 million in Q2 2022, and up 6.63% quarter-over-quarter from $347.0 million in Q1 2023.
Tesla (TSLA) Other Accumulated Expenses (2010 - 2023) Analysis & Trends
Tesla has disclosed Other Accumulated Expenses across 14 years of filings, most recently posting $370.0 million for Q2 2023.
- In Q2 2023, Other Accumulated Expenses rose 9.79% year-over-year to $370.0 million; the TTM figure through Jun 2023 stood at $370.0 million (up 9.79% YoY), while the FY2022 annual figure was $354.0 million, up 14.19% from the prior year.
- Other Accumulated Expenses came in at $370.0 million for Q2 2023 at Tesla, up from $347.0 million in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $370.0 million in Q2 2023 to a low of $173.0 million in Q3 2020.
- Average Other Accumulated Expenses over 5 years is $286.3 million, with a median of $301.0 million recorded in 2021.
- Year-over-year, Other Accumulated Expenses sank 30.11% in 2019 and surged 73.99% in 2021.
- Over 5 years, Other Accumulated Expenses stood at $260.0 million in 2019, then grew by 1.54% to $264.0 million in 2020, then advanced by 17.42% to $310.0 million in 2021, then advanced by 14.19% to $354.0 million in 2022, then climbed by 4.52% to $370.0 million in 2023.
- Per Business Quant data, the three most recent Other Accumulated Expenses figures were $370.0 million in Q2 2023, $347.0 million in Q1 2023, and $354.0 million in Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
|---|---|
| Jun 30, 2023 | 370.00 Mn |
| Mar 31, 2023 | 347.00 Mn |
| Dec 31, 2022 | 354.00 Mn |
| Sep 30, 2022 | 342.00 Mn |
| Jun 30, 2022 | 337.00 Mn |
| Mar 31, 2022 | 309.00 Mn |
| Dec 31, 2021 | 310.00 Mn |
| Sep 30, 2021 | 301.00 Mn |
| Jun 30, 2021 | 292.00 Mn |
| Mar 31, 2021 | 273.00 Mn |
| Dec 31, 2020 | 264.00 Mn |
| Sep 30, 2020 | 173.00 Mn |
| Jun 30, 2020 | 179.00 Mn |
| Mar 31, 2020 | 184.00 Mn |
| Dec 31, 2019 | 260.00 Mn |
| Dec 31, 2018 | 372.00 Mn |
| Sep 30, 2018 | 111.36 Mn |
| Jun 30, 2018 | 97.92 Mn |
| Mar 31, 2018 | 81.82 Mn |
| Dec 31, 2017 | 51.65 Mn |
Tesla Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TSLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();