Mohawk Industries (MHK) Exchange Rate Effect (2009 - 2026)
Mohawk Industries' (MHK) quarterly Exchange Rate Effect came in at $5.5 million in Q3 2026, down 60.71% year-over-year from $14.0 million in Q3 2025, and up 261.76% quarter-over-quarter from -$3.4 million in Q2 2026.
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Analysis
Mohawk Industries (MHK) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Mohawk Industries has disclosed Exchange Rate Effect across 18 years of filings, most recently posting $5.5 million for Q3 2026.
- In Q3 2026, Exchange Rate Effect fell 60.71% year-over-year to $5.5 million; the TTM figure through Jul 2026 stood at $2.8 million (down 86.85% YoY), while the FY2025 annual figure was $45.2 million, up 273.85% from the prior year.
- Exchange Rate Effect came in at $5.5 million for Q3 2026 at Mohawk Industries, up from -$3.4 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $30.5 million in Q1 2025 to a low of -$15.7 million in Q4 2024.
- Average Exchange Rate Effect over 5 years is $472222.2, with a median of -$4.1 million recorded in 2024.
- Year-over-year, Exchange Rate Effect sank 420.41% in 2024 and surged 722.45% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$5.5 million in 2022, then jumped by 189.47% to $4.9 million in 2023, then slumped by 420.41% to -$15.7 million in 2024, then soared by 190.45% to $14.2 million in 2025, then sank by 61.27% to $5.5 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $5.5 million in Q3 2026, -$3.4 million in Q2 2026, and $14.2 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | -11.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 9.00 Mn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.80 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Mohawk Industries | 8.55 Bn | 7.70 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();