Tesla (TSLA) Exchange Rate Effect (2013 - 2026)
Tesla's (TSLA) quarterly Exchange Rate Effect came in at -$36.0 million in Q2 2026, down 132.43% year-over-year from $111.0 million in Q2 2025, and up 23.4% quarter-over-quarter from -$47.0 million in Q1 2026.
Tesla (TSLA) Exchange Rate Effect (2013 - 2026) Analysis & Trends
Tesla has disclosed Exchange Rate Effect across 14 years of filings, most recently posting -$36.0 million for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 132.43% year-over-year to -$36.0 million; the TTM figure through Jun 2026 stood at -$63.0 million (down 150.0% YoY), while the FY2025 annual figure was $171.0 million, up 221.28% from the prior year.
- Exchange Rate Effect came in at -$36.0 million for Q2 2026 at Tesla, up from -$47.0 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $146.0 million in Q4 2023 to a low of -$335.0 million in Q3 2022.
- Average Exchange Rate Effect over 5 years is -$27.4 million, with a median of -$27.0 million recorded in 2022.
- Year-over-year, Exchange Rate Effect slumped 697.62% in 2022 and jumped 400.0% in 2025.
- Over 5 years, Exchange Rate Effect stood at $123.0 million in 2022, then increased by 18.7% to $146.0 million in 2023, then sank by 191.1% to -$133.0 million in 2024, then soared by 127.82% to $37.0 million in 2025, then sank by 197.3% to -$36.0 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$36.0 million in Q2 2026, -$47.0 million in Q1 2026, and $37.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | -36.00 Mn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | 367.37 Mn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 1.80 Mn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | 870.87 Mn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | 30.00 Mn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | -7.00 Mn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | 2.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | -4.00 Mn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 116.24 Mn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | -27.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.00 Mn |
| Mar 31, 2026 | -47.00 Mn |
| Dec 31, 2025 | 37.00 Mn |
| Sep 30, 2025 | -17.00 Mn |
| Jun 30, 2025 | 111.00 Mn |
| Mar 31, 2025 | 40.00 Mn |
| Dec 31, 2024 | -133.00 Mn |
| Sep 30, 2024 | 108.00 Mn |
| Jun 30, 2024 | -37.00 Mn |
| Mar 31, 2024 | -79.00 Mn |
| Dec 31, 2023 | 146.00 Mn |
| Sep 30, 2023 | -98.00 Mn |
| Jun 30, 2023 | -94.00 Mn |
| Mar 31, 2023 | 50.00 Mn |
| Dec 31, 2022 | 123.00 Mn |
| Sep 30, 2022 | -335.00 Mn |
| Jun 30, 2022 | -214.00 Mn |
| Mar 31, 2022 | -18.00 Mn |
| Dec 31, 2021 | 38.00 Mn |
| Sep 30, 2021 | -42.00 Mn |
Tesla Exchange Rate Effect 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=exchange-rate-effect&ticker=TSLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();