Interface (TILE) EBITDA (2009 - 2026)
Interface (TILE) recorded EBITDA of $84.84 million in Q2 2026, up 34.2% from $63.23 million a year earlier and up 101.0% from the prior quarter.
Powered by 
Analysis
Interface (TILE) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Interface's EBITDA came in at $235.94 million as of Jul 5, 2026, up 23.2% year-over-year; for FY2025, it came in at $206.01 million, up 15.1% from FY2024.
- Annual EBITDA has increased for three straight years, with a four-year compound annual growth rate of 103.0% (FY2021 to FY2025).
- Across earlier years, EBITDA came in at $178.94 million in FY2024 (+18.9%), $150.5 million in FY2023 (+24.6%), $120.77 million in FY2022 and $12.13 million in FY2021.
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q4 2011.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 342.2% in Q4 2023, against a decline of 12.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.21 million (Q1 2026), $45.14 million (Q4 2025) and $63.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 1.45 Bn |
| 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 | -1.95 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 672.34 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 661.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 425.90 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | - |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 320.70 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 342.00 Mn |
| 10 | Interface | 1.84 Bn | 1.55 Bn | 148.75 Mn | 66.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 66.31 Mn |
| Jul 5, 2026 | 84.84 Mn |
| Apr 5, 2026 | 42.21 Mn |
| Dec 28, 2025 | 45.14 Mn |
| Sep 28, 2025 | 63.76 Mn |
| Jun 29, 2025 | 63.23 Mn |
| Mar 30, 2025 | 33.88 Mn |
| Dec 29, 2024 | 41.03 Mn |
| Sep 29, 2024 | 53.39 Mn |
| Jun 30, 2024 | 49.17 Mn |
| Mar 31, 2024 | 35.36 Mn |
| Oct 1, 2023 | 42.73 Mn |
| Jul 2, 2023 | 40.36 Mn |
| Apr 2, 2023 | 20.75 Mn |
| Dec 31, 2022 | 120.77 Mn |
| Oct 2, 2022 | 37.87 Mn |
| Jul 3, 2022 | 44.69 Mn |
| Apr 3, 2022 | 39.43 Mn |
| Dec 31, 2021 | 156.78 Mn |
| Oct 3, 2021 | 37.60 Mn |
API Access
Interface EBITDA 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=ebitda&ticker=TILE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();