Interface (TILE) Return on Capital Employed [ROCE] (2009 - 2026)
Interface's Return on Capital Employed [ROCE] was 19.78% in Q2 2026, up 5.24 percentage points from 14.54% a year earlier and up 2.03 percentage points from the prior quarter.
Interface (TILE) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Interface came in at 17.23%, up 3.57 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for three consecutive years, with a four-year change of +20.59 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 13.66% in FY2024 (+3.55 pp), 10.11% in FY2023 (+3.12 pp), 7.00% in FY2022 and -3.35% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2011.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for 11 straight quarters, with an average year-over-year change of +3.20 percentage points over the last eight quarters.
- Over the past five years, the year-over-year gain in Return on Capital Employed [ROCE] ranged from 0.79 percentage points (Q3 2025) to 6.70 percentage points (Q3 2024).
- Per Business Quant data, TILE's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 17.76% (Q1 2026), 15.90% (Q4 2025) and 14.87% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 25.76% |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | -4.09% |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 30.59% |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 73.03% |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 6.26% |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 36.93% |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 20.57% |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 19.33% |
| 10 | Interface | 1.84 Bn | 1.55 Bn | 148.75 Mn | 19.79% |
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 19.79% |
| Jul 5, 2026 | 19.78% |
| Apr 5, 2026 | 17.76% |
| Dec 28, 2025 | 15.90% |
| Sep 28, 2025 | 14.87% |
| Jun 29, 2025 | 14.54% |
| Mar 30, 2025 | 13.71% |
| Dec 29, 2024 | 13.57% |
| Sep 29, 2024 | 13.67% |
| Jun 30, 2024 | 12.37% |
| Mar 31, 2024 | 9.34% |
| Oct 1, 2023 | 14.47% |
| Jul 2, 2023 | 13.61% |
| Apr 2, 2023 | 14.20% |
| Dec 31, 2022 | 16.01% |
| Oct 2, 2022 | 18.74% |
| Jul 3, 2022 | 18.03% |
| Apr 3, 2022 | 17.34% |
| Dec 31, 2021 | 16.76% |
| Oct 3, 2021 | 2.95% |
Interface Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TILE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();