Tesla (TSLA) Work In Process (2010 - 2023)
Tesla's (TSLA) quarterly Work In Process came in at $2.2 billion in Q2 2023, up 60.73% year-over-year from $1.4 billion in Q2 2022, and down 10.41% quarter-over-quarter from $2.5 billion in Q1 2023.
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Analysis
Tesla (TSLA) Work In Process (2010 - 2023) Analysis & Trends
Tesla has disclosed Work In Process across 14 years of filings, most recently posting $2.2 billion for Q2 2023.
- In Q2 2023, Work In Process rose 60.73% year-over-year to $2.2 billion; the TTM figure through Jun 2023 stood at $2.2 billion (up 60.73% YoY), while the FY2022 annual figure was $2.4 billion, up 119.01% from the prior year.
- Work In Process came in at $2.2 billion for Q2 2023 at Tesla, down from $2.5 billion in the prior quarter.
- In the past five years, Work In Process ranged from a high of $2.5 billion in Q1 2023 to a low of $277.2 million in Q1 2019.
- Average Work In Process over 5 years is $1.0 billion, with a median of $715.0 million recorded in 2020.
- Year-over-year, Work In Process declined 12.08% in 2019 and surged 187.67% in 2022.
- Over 5 years, Work In Process stood at $362.0 million in 2019, then jumped by 36.19% to $493.0 million in 2020, then jumped by 120.89% to $1.1 billion in 2021, then jumped by 119.01% to $2.4 billion in 2022, then retreated by 7.67% to $2.2 billion in 2023.
- Per Business Quant data, the three most recent Work In Process figures were $2.2 billion in Q2 2023, $2.5 billion in Q1 2023, and $2.4 billion in Q4 2022.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 2.20 Bn |
| Mar 31, 2023 | 2.46 Bn |
| Dec 31, 2022 | 2.39 Bn |
| Sep 30, 2022 | 2.24 Bn |
| Jun 30, 2022 | 1.37 Bn |
| Mar 31, 2022 | 1.31 Bn |
| Dec 31, 2021 | 1.09 Bn |
| Sep 30, 2021 | 1.06 Bn |
| Jun 30, 2021 | 858.00 Mn |
| Mar 31, 2021 | 454.00 Mn |
| Dec 31, 2020 | 493.00 Mn |
| Sep 30, 2020 | 572.00 Mn |
| Jun 30, 2020 | 420.00 Mn |
| Mar 31, 2020 | 494.00 Mn |
| Dec 31, 2019 | 362.00 Mn |
| Sep 30, 2019 | 335.00 Mn |
| Jun 30, 2019 | 334.64 Mn |
| Mar 31, 2019 | 277.16 Mn |
| Dec 31, 2018 | 297.00 Mn |
| Sep 30, 2018 | 358.11 Mn |
API Access
Tesla Work In Process 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=work-in-process&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();