Interface (TILE) Return on Sales [ROS] (2010 - 2026)
Interface's Return on Sales [ROS] came in at 18.93% for Q2 2026, up 5.07 percentage points from 13.86% a year earlier and up 9.17 percentage points from the prior quarter.
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Analysis
Interface (TILE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 5, 2026, Interface reported Return on Sales [ROS] of 13.60%, up 2.73 percentage points year-over-year; for FY2025, it came in at 11.82%, up 1.61 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a four-year change of +15.39 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was 10.22% in FY2024 (+1.93 pp), 8.29% in FY2023 (+2.48 pp), 5.81% in FY2022 and -3.56% in FY2021.
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q4 2011.
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +1.65 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 9.78 percentage points), and the weakest in Q4 2024 (a drop of 1.97 percentage points).
- Business Quant data shows TILE's Return on Sales [ROS] at 9.77% (Q1 2026), 10.12% (Q4 2025) and 14.64% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn | 22.45% |
| 10 | Interface | 1.99 Bn | 1.59 Bn | 178.08 Mn | 18.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 18.93% |
| Apr 5, 2026 | 9.77% |
| Dec 28, 2025 | 10.12% |
| Sep 28, 2025 | 14.64% |
| Jun 29, 2025 | 13.86% |
| Mar 30, 2025 | 7.81% |
| Dec 29, 2024 | 8.85% |
| Sep 29, 2024 | 12.25% |
| Jun 30, 2024 | 11.01% |
| Mar 31, 2024 | 8.44% |
| Dec 31, 2023 | 10.81% |
| Oct 1, 2023 | 9.96% |
| Jul 2, 2023 | 8.77% |
| Apr 2, 2023 | 3.20% |
| Jan 1, 2023 | 1.04% |
| Oct 2, 2022 | 8.56% |
| Jul 3, 2022 | 9.96% |
| Apr 3, 2022 | 9.52% |
| Oct 3, 2021 | 7.92% |
| Jul 4, 2021 | 9.91% |
API Access
Interface Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TILE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();