Leggett & Platt (LEG) Exchange Rate Effect (2009 - 2026)
Leggett & Platt (LEG) reported Exchange Rate Effect of $4.2 million for Q2 2026, down 56.3% from $9.6 million a year earlier.
Leggett & Platt (LEG) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Leggett & Platt's Exchange Rate Effect came in at $11.9 million, up 56.6% year-over-year; for FY2025, it came in at $18.9 million.
- Exchange Rate Effect has a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- By year, Exchange Rate Effect came in at -$14.4 million in FY2024, $1.9 million in FY2023, -$19.2 million in FY2022 and $500,000 in FY2021 (-94.7%).
- Five-year quarterly Exchange Rate Effect spans a low of -$15.2 million in Q2 2022 and a high of $9.6 million in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $100,000 (Q1 2026), $6.5 million (Q4 2025) and $1.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 30.10 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | -74.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | -1.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 4.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | -12.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 8.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 6.00 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 4.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.20 Mn |
| Mar 31, 2026 | 100,000.00 |
| Dec 31, 2025 | 6.50 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 9.60 Mn |
| Mar 31, 2025 | 1.70 Mn |
| Dec 31, 2024 | -8.10 Mn |
| Sep 30, 2024 | 4.40 Mn |
| Jun 30, 2024 | -4.90 Mn |
| Mar 31, 2024 | -5.80 Mn |
| Dec 31, 2023 | 7.40 Mn |
| Sep 30, 2023 | -1.60 Mn |
| Jun 30, 2023 | -7.20 Mn |
| Mar 31, 2023 | 3.30 Mn |
| Dec 31, 2022 | 5.90 Mn |
| Sep 30, 2022 | -9.90 Mn |
| Jun 30, 2022 | -15.20 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | -3.20 Mn |
| Jun 30, 2021 | 6.40 Mn |
Leggett & Platt 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=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "LEG", "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=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();