Interface (TILE) Cash & Equivalents (2010 - 2026)
Interface's Cash & Equivalents was $81.53 million in Q2 2026, down 33.0% from $121.7 million a year earlier but up 33.1% from the prior quarter.
Interface (TILE) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Interface came in at $71.32 million, down 28.1% from FY2024.
- Cash & Equivalents shows a four-year compound annual growth rate of -8.8% (FY2021 to FY2025).
- In earlier years, Cash & Equivalents was $99.23 million in FY2024 (-10.2%), $110.5 million in FY2023 (+13.3%), $97.56 million in FY2022 and $103.05 million in FY2021.
- Quarterly Cash & Equivalents has moved between $61.23 million (Q1 2026) and $187.36 million (Q3 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with an average decline of 1.5% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2025 (growth of 62.1%); the worst was Q1 2026 (a decline of 37.4%).
- Per Business Quant data, TILE's Cash & Equivalents in the three quarters before Q2 2026 was $61.23 million (Q1 2026), $71.32 million (Q4 2025) and $187.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Interface | 1.99 Bn | 1.59 Bn | 178.08 Mn | 81.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 81.53 Mn |
| Apr 5, 2026 | 61.23 Mn |
| Dec 28, 2025 | 71.32 Mn |
| Sep 28, 2025 | 187.36 Mn |
| Jun 29, 2025 | 121.70 Mn |
| Mar 30, 2025 | 97.76 Mn |
| Dec 29, 2024 | 99.23 Mn |
| Sep 29, 2024 | 115.60 Mn |
| Jun 30, 2024 | 94.19 Mn |
| Mar 31, 2024 | 89.77 Mn |
| Dec 31, 2023 | 110.50 Mn |
| Oct 1, 2023 | 119.63 Mn |
| Jul 2, 2023 | 92.94 Mn |
| Apr 2, 2023 | 101.27 Mn |
| Jan 1, 2023 | 97.56 Mn |
| Oct 2, 2022 | 79.45 Mn |
| Jul 3, 2022 | 91.65 Mn |
| Apr 3, 2022 | 76.09 Mn |
| Jan 2, 2022 | 97.25 Mn |
| Oct 3, 2021 | 92.81 Mn |
Interface Cash & Equivalents 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=cash-and-equivalents&ticker=TILE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();