Interface (TILE) Exchange Rate Effect (2010 - 2026)
Interface's Exchange Rate Effect came in at -$387,000 for Q2 2026, compared with $6.24 million a year earlier.
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Analysis
Interface (TILE) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 5, 2026, Interface reported Exchange Rate Effect of -$802,000; for FY2025, it came in at $9.68 million.
- Exchange Rate Effect carries a four-year compound annual growth rate of 8.1% (FY2021 to FY2025).
- Going back by year, Exchange Rate Effect was -$4.09 million in FY2024, $1.98 million in FY2023, -$4.82 million in FY2022 and $7.09 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$5.05 million (Q4 2024) to $6.24 million (Q2 2025).
- Business Quant data shows TILE's Exchange Rate Effect at -$921,000 (Q1 2026), $670,000 (Q4 2025) and -$164,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 200,000.00 |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | -1.00 Mn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 3.00 Mn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | -4.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | -1.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | -1.20 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | -300,000.00 |
| 10 | Interface | 2.02 Bn | 1.62 Bn | 178.08 Mn | -387,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | -387,000.00 |
| Apr 5, 2026 | -921,000.00 |
| Dec 28, 2025 | 670,000.00 |
| Sep 28, 2025 | -164,000.00 |
| Jun 29, 2025 | 6.24 Mn |
| Mar 30, 2025 | 2.93 Mn |
| Dec 29, 2024 | -5.05 Mn |
| Sep 29, 2024 | 2.90 Mn |
| Jun 30, 2024 | -368,000.00 |
| Mar 31, 2024 | -1.57 Mn |
| Dec 31, 2023 | 2.63 Mn |
| Oct 1, 2023 | -1.90 Mn |
| Jul 2, 2023 | 376,000.00 |
| Apr 2, 2023 | 872,000.00 |
| Jan 1, 2023 | -1.01 Mn |
| Apr 3, 2022 | -1.58 Mn |
| Oct 3, 2021 | -1.45 Mn |
| Jul 4, 2021 | 422,000.00 |
| Apr 4, 2021 | -2.79 Mn |
| Jan 3, 2021 | 4.69 Mn |
API Access
Interface 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=TILE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TILE", "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=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();