Toyota Motor (TOYOF) Exchange Rate Effect (2009 - 2026)
Toyota Motor's (TOYOF) quarterly Exchange Rate Effect came in at $367.4 million in Q2 2026, up 224.36% year-over-year from $113.3 million in Q2 2025, and down 37.3% quarter-over-quarter from $586.0 million in Q1 2026.
Toyota Motor (TOYOF) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Toyota Motor (TOYOF) has reported Exchange Rate Effect for 18 consecutive years, with $367.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect rose 224.36% year-over-year to $367.4 million in Q2 2026; TTM through Jun 2026 was $3.1 billion, a 216.51% increase from a year earlier, with the FY2026 full-year figure at $2.4 billion, up 373.66% from the prior year.
- Exchange Rate Effect was $367.4 million for Q2 2026 at Toyota Motor, down from $586.0 million in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $7.1 billion in Q2 2022 and troughed at -$5.1 billion in Q4 2022.
- A 5-year average of $829.4 million and a median of $1.0 billion in 2023 frame the typical range for Exchange Rate Effect.
- The widest YoY moves for Exchange Rate Effect: up 4241.47% in 2022, down 381.78% in 2022.
- Over 5 years, Exchange Rate Effect stood at -$5.1 billion in 2022, then soared by 54.44% to -$2.3 billion in 2023, then jumped by 176.22% to $1.8 billion in 2024, then fell by 18.67% to $1.4 billion in 2025, then tumbled by 74.28% to $367.4 million in 2026.
- The last three Exchange Rate Effect figures came in at $367.4 million (Q2 2026), $586.0 million (Q1 2026), and $1.4 billion (Q4 2025), per Business Quant data.
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 | 367.37 Mn |
| Mar 31, 2026 | 585.95 Mn |
| Dec 31, 2025 | 1.43 Bn |
| Sep 30, 2025 | 734.63 Mn |
| Jun 30, 2025 | -295.40 Mn |
| Mar 31, 2025 | -1.17 Bn |
| Dec 31, 2024 | 1.76 Bn |
| Sep 30, 2024 | -2.96 Bn |
| Jun 30, 2024 | 1.41 Bn |
| Mar 31, 2024 | 2.12 Bn |
| Dec 31, 2023 | -2.30 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 5.55 Bn |
| Mar 31, 2023 | 75.75 Mn |
| Dec 31, 2022 | -5.06 Bn |
| Sep 30, 2022 | 2.36 Bn |
| Jun 30, 2022 | 7.10 Bn |
| Mar 31, 2022 | 1.96 Bn |
| Dec 31, 2021 | 1.79 Bn |
| Sep 30, 2021 | -98.65 Mn |
Toyota Motor 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=TOYOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TOYOF", "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=TOYOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();