Interface (TILE) Total Liabilities (2011 - 2026)
Interface (TILE) reported Total Liabilities of $591.88 million for Q2 2026, down 15.8% from $703.2 million a year earlier but up 3.6% from the prior quarter.
Interface (TILE) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Interface posted Total Liabilities of $565.85 million, down 17.0% from FY2024.
- Total Liabilities has declined for three consecutive years, with a four-year compound annual growth rate of -12.8% (FY2021 to FY2025).
- By year, Total Liabilities came in at $681.67 million in FY2024 (-15.2%), $804.15 million in FY2023 (-11.1%), $904.97 million in FY2022 and $979.47 million in FY2021.
- Five-year quarterly Total Liabilities spans a low of $565.85 million in Q4 2025 and a high of $904.97 million in Q4 2022.
- Year over year, Total Liabilities has now declined in each of the last 11 quarters, with an average decline of 12.1% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Liabilities ranged from 4.3% (Q3 2025) to 17.0% (Q4 2025).
- Per Business Quant data, the three quarters before Q2 2026 came in at $571.2 million (Q1 2026), $565.85 million (Q4 2025) and $709.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 15.28 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 5.27 Bn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 23.90 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 16.90 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 6.95 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 5.77 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 3.24 Bn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 4.62 Bn |
| 10 | Interface | 2.02 Bn | 1.62 Bn | 178.08 Mn | 591.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 591.88 Mn |
| Apr 5, 2026 | 571.20 Mn |
| Dec 28, 2025 | 565.85 Mn |
| Sep 28, 2025 | 709.57 Mn |
| Jun 29, 2025 | 703.20 Mn |
| Mar 30, 2025 | 678.73 Mn |
| Dec 29, 2024 | 681.67 Mn |
| Sep 29, 2024 | 741.70 Mn |
| Jun 30, 2024 | 764.95 Mn |
| Mar 31, 2024 | 764.94 Mn |
| Dec 31, 2023 | 804.15 Mn |
| Oct 1, 2023 | 814.08 Mn |
| Jul 2, 2023 | 835.05 Mn |
| Apr 2, 2023 | 886.18 Mn |
| Jan 1, 2023 | 904.97 Mn |
| Oct 2, 2022 | 919.21 Mn |
| Jul 3, 2022 | 966.07 Mn |
| Apr 3, 2022 | 942.91 Mn |
| Jan 2, 2022 | 966.66 Mn |
| Oct 3, 2021 | 952.47 Mn |
Interface Total Liabilities 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=total-liabilities&ticker=TILE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();