Lear (LEA) Exchange Rate Effect (2010 - 2026)
Lear (LEA) reported Exchange Rate Effect of $3.9 million for Q2 2026, down 69.0% from $12.6 million a year earlier and down 47.3% from the prior quarter.
Lear (LEA) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Lear's Exchange Rate Effect came in at $19.1 million, up 48.1% year-over-year; for FY2025, it was $26.4 million.
- Exchange Rate Effect has a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- By year, Exchange Rate Effect came in at -$26.3 million in FY2024, $12.8 million in FY2023, -$7.7 million in FY2022 and -$3 million in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$30.4 million in Q4 2024 and a high of $24.7 million in Q3 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.4 million (Q1 2026), $5.9 million (Q4 2025) and $1.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | -36.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 367.37 Mn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.80 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 537.71 Mn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 30.00 Mn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | -7.00 Mn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 2.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | -4.00 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 116.24 Mn |
| 10 | Lear | 5.82 Bn | 2.04 Bn | 470.30 Mn | 3.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 3.90 Mn |
| Apr 4, 2026 | 7.40 Mn |
| Dec 31, 2025 | 5.90 Mn |
| Sep 27, 2025 | 1.90 Mn |
| Jun 28, 2025 | 12.60 Mn |
| Mar 29, 2025 | 6.00 Mn |
| Dec 31, 2024 | -30.40 Mn |
| Sep 28, 2024 | 24.70 Mn |
| Jun 29, 2024 | -3.90 Mn |
| Mar 30, 2024 | -16.70 Mn |
| Dec 31, 2023 | 15.70 Mn |
| Sep 30, 2023 | -12.80 Mn |
| Jul 1, 2023 | -1.10 Mn |
| Apr 1, 2023 | 11.00 Mn |
| Dec 31, 2022 | 23.60 Mn |
| Oct 1, 2022 | -15.20 Mn |
| Jul 2, 2022 | -12.70 Mn |
| Apr 2, 2022 | -3.40 Mn |
| Dec 31, 2021 | 2.80 Mn |
| Oct 2, 2021 | -3.90 Mn |
Lear 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=LEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "LEA", "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=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();