Mohawk Industries (MHK) Exchange Rate Effect (2009 - 2026)
Mohawk Industries (MHK) reported Exchange Rate Effect of $5.5 million for Q2 2026, down 60.7% from $14 million a year earlier.
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Analysis
Mohawk Industries (MHK) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Mohawk Industries' Exchange Rate Effect came in at $2.8 million, down 86.9% year-over-year; for FY2025, it came in at $45.2 million.
- Exchange Rate Effect has a five-year compound annual growth rate of 45.3% (FY2020 to FY2025).
- By year, Exchange Rate Effect came in at -$26 million in FY2024, -$15.3 million in FY2023, $2.5 million in FY2022 and -$19.87 million in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$15.7 million in Q4 2024 and a high of $30.5 million in Q1 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$3.4 million (Q1 2026), $14.2 million (Q4 2025) and -$13.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 200,000.00 |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | -1.00 Mn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 3.00 Mn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | -4.00 Mn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | -1.40 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 1.00 Mn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | -1.20 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | -300,000.00 |
| 10 | Mohawk Industries | 7.02 Bn | 3.93 Bn | 795.10 Mn | 5.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 5.50 Mn |
| Apr 4, 2026 | -3.40 Mn |
| Dec 31, 2025 | 14.20 Mn |
| Sep 27, 2025 | -13.50 Mn |
| Jun 28, 2025 | 14.00 Mn |
| Mar 29, 2025 | 30.50 Mn |
| Dec 31, 2024 | -15.70 Mn |
| Sep 28, 2024 | -7.50 Mn |
| Jun 29, 2024 | 2.10 Mn |
| Mar 30, 2024 | -4.90 Mn |
| Dec 31, 2023 | 4.90 Mn |
| Sep 30, 2023 | -6.90 Mn |
| Jul 1, 2023 | -8.20 Mn |
| Apr 1, 2023 | -5.10 Mn |
| Dec 31, 2022 | -5.48 Mn |
| Oct 1, 2022 | -8.39 Mn |
| Jul 2, 2022 | 3.10 Mn |
| Apr 2, 2022 | 13.27 Mn |
| Dec 31, 2021 | -3.52 Mn |
| Oct 2, 2021 | -7.71 Mn |
API Access
Mohawk Industries 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=MHK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MHK", "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=MHK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();