Interface (TILE) Accumulated Expenses (2009 - 2026)
Interface's Accumulated Expenses was $137.06 million in Q2 2026, up 11.6% from $122.85 million a year earlier and up 14.5% from the prior quarter.
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Analysis
Interface (TILE) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Interface came in at $147.77 million, up 9.5% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a four-year compound annual growth rate of 8.7% (FY2021 to FY2025).
- In earlier years, Accumulated Expenses was $135 million in FY2024 (+3.1%), $130.89 million in FY2023 (+8.9%), $120.14 million in FY2022 and $105.74 million in FY2021.
- Quarterly Accumulated Expenses has moved between $102.59 million (Q2 2023) and $148.37 million (Q3 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for nine straight quarters, with growth averaging 8.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2024 (growth of 18.5%); the worst was Q1 2024 (a decline of 1.7%).
- Per Business Quant data, TILE's Accumulated Expenses in the three quarters before Q2 2026 was $119.68 million (Q1 2026), $147.77 million (Q4 2025) and $148.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 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 |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn |
| 10 | Interface | 1.84 Bn | 1.55 Bn | 148.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 152.90 Mn |
| Jul 5, 2026 | 137.06 Mn |
| Apr 5, 2026 | 119.68 Mn |
| Dec 28, 2025 | 147.77 Mn |
| Sep 28, 2025 | 148.37 Mn |
| Jun 29, 2025 | 122.85 Mn |
| Mar 30, 2025 | 114.01 Mn |
| Dec 29, 2024 | 135.00 Mn |
| Sep 29, 2024 | 136.63 Mn |
| Jun 30, 2024 | 114.96 Mn |
| Mar 31, 2024 | 112.13 Mn |
| Dec 31, 2023 | 130.89 Mn |
| Oct 1, 2023 | 115.27 Mn |
| Jul 2, 2023 | 102.59 Mn |
| Apr 2, 2023 | 114.03 Mn |
| Dec 31, 2022 | 120.14 Mn |
| Oct 2, 2022 | 127.48 Mn |
| Jul 3, 2022 | 127.98 Mn |
| Apr 3, 2022 | 130.05 Mn |
| Dec 31, 2021 | 146.30 Mn |
API Access
Interface Accumulated Expenses 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=accumulated-expenses&ticker=TILE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();