Interface (TILE) Operating Expenses (2010 - 2026)
Interface (TILE) recorded Operating Expenses of $103.17 million in Q2 2026, up 7.5% from $95.93 million a year earlier and up 9.3% from the prior quarter.
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Analysis
Interface (TILE) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Interface's Operating Expenses came in at $387.28 million as of Jul 5, 2026, up 7.0% year-over-year; for FY2025, it came in at $373.39 million, up 7.1% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a four-year compound annual growth rate of 3.2% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $348.54 million in FY2024 (+3.6%), $336.55 million in FY2023 (+3.2%), $326.16 million in FY2022 and $328.6 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2019.
- On a year-over-year basis, Operating Expenses has increased for nine consecutive quarters, with growth averaging 7.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 13.6% in Q2 2025, against a decline of 0.5% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $94.39 million (Q1 2026), $99.45 million (Q4 2025) and $90.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Interface | 2.02 Bn | 1.62 Bn | 178.08 Mn | 103.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 103.17 Mn |
| Apr 5, 2026 | 94.39 Mn |
| Dec 28, 2025 | 99.45 Mn |
| Sep 28, 2025 | 90.27 Mn |
| Jun 29, 2025 | 95.93 Mn |
| Mar 30, 2025 | 87.74 Mn |
| Dec 29, 2024 | 92.67 Mn |
| Sep 29, 2024 | 85.45 Mn |
| Jun 30, 2024 | 84.46 Mn |
| Mar 31, 2024 | 85.96 Mn |
| Dec 31, 2023 | 88.00 Mn |
| Oct 1, 2023 | 79.27 Mn |
| Jul 2, 2023 | 82.88 Mn |
| Apr 2, 2023 | 86.40 Mn |
| Jan 1, 2023 | 85.67 Mn |
| Oct 2, 2022 | 80.74 Mn |
| Jul 3, 2022 | 82.18 Mn |
| Apr 3, 2022 | 79.38 Mn |
| Oct 3, 2021 | 81.55 Mn |
| Jul 4, 2021 | 79.77 Mn |
API Access
Interface Operating 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=operating-expenses&ticker=TILE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();