Interface (TILE) Non Operating Interest Expenses (2010 - 2026)
Interface (TILE) posted Non Operating Interest Expenses of $2.37 million for Q2 2026, down 46.6% from $4.44 million a year earlier and down 10.9% from the prior quarter.
Interface (TILE) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Non Operating Interest Expenses at Interface was $15.73 million, down 19.2% year-over-year; for FY2025, it was $19.55 million, down 15.8% from FY2024.
- Annual Non Operating Interest Expenses shows a four-year compound annual growth rate of -9.6% (FY2021 to FY2025).
- In prior years, Interface's Non Operating Interest Expenses was $23.21 million in FY2024 (-27.0%), $31.79 million in FY2023 (+6.2%), $29.93 million in FY2022 and $29.24 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Non Operating Interest Expenses since Q2 2018.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last eight quarters, with an average decline of 24.7%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2025, with growth of 32.5%; the weakest was Q2 2026, with a decline of 46.6%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $2.67 million (Q1 2026), $6.48 million (Q4 2025) and $4.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 53.10 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.44 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 61.50 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 28.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 24.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 27.40 Mn |
| 10 | Interface | 1.99 Bn | 1.59 Bn | 178.08 Mn | 2.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 2.37 Mn |
| Apr 5, 2026 | 2.67 Mn |
| Dec 28, 2025 | 6.48 Mn |
| Sep 28, 2025 | 4.21 Mn |
| Jun 29, 2025 | 4.44 Mn |
| Mar 30, 2025 | 4.42 Mn |
| Dec 29, 2024 | 4.89 Mn |
| Sep 29, 2024 | 5.72 Mn |
| Jun 30, 2024 | 6.17 Mn |
| Mar 31, 2024 | 6.42 Mn |
| Dec 31, 2023 | 6.80 Mn |
| Oct 1, 2023 | 8.16 Mn |
| Jul 2, 2023 | 8.32 Mn |
| Apr 2, 2023 | 8.51 Mn |
| Jan 1, 2023 | 7.66 Mn |
| Oct 2, 2022 | 7.75 Mn |
| Jul 3, 2022 | 7.19 Mn |
| Apr 3, 2022 | 6.85 Mn |
| Oct 3, 2021 | 7.73 Mn |
| Jul 4, 2021 | 7.29 Mn |
Interface Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=TILE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();