Interface (TILE) Retained Earnings (2009 - 2026)
Interface's Retained Earnings came in at $589.38 million for Q2 2026, up 31.0% from $449.78 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Interface (TILE) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Interface's Retained Earnings was $517.98 million, up 27.8% from FY2024.
- Retained Earnings has increased in each of the last three years, with a four-year compound annual growth rate of 25.5% (FY2021 to FY2025).
- Going back by year, Retained Earnings was $405.44 million in FY2024 (+26.4%), $320.83 million in FY2023 (+15.1%), $278.64 million in FY2022 and $208.56 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2011.
- Year-over-year, Retained Earnings has increased for 11 consecutive quarters, with growth averaging 27.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 15.1% in Q4 2023 to 31.0% in Q2 2026.
- Business Quant data shows TILE's Retained Earnings at $539.71 million (Q1 2026), $517.98 million (Q4 2025) and $494.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 11.03 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 | 9.94 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 3.80 Bn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 125.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 2.09 Bn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | -929.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 2.41 Bn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 7.78 Bn |
| 10 | Interface | 1.84 Bn | 1.55 Bn | 148.75 Mn | 626.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 626.86 Mn |
| Jul 5, 2026 | 589.38 Mn |
| Apr 5, 2026 | 539.71 Mn |
| Dec 28, 2025 | 517.98 Mn |
| Sep 28, 2025 | 494.75 Mn |
| Jun 29, 2025 | 449.78 Mn |
| Mar 30, 2025 | 417.80 Mn |
| Dec 29, 2024 | 405.44 Mn |
| Sep 29, 2024 | 384.26 Mn |
| Jun 30, 2024 | 356.40 Mn |
| Mar 31, 2024 | 334.42 Mn |
| Dec 31, 2023 | 320.83 Mn |
| Oct 1, 2023 | 301.86 Mn |
| Jul 2, 2023 | 292.56 Mn |
| Apr 2, 2023 | 277.35 Mn |
| Dec 31, 2022 | 278.64 Mn |
| Oct 2, 2022 | 303.84 Mn |
| Jul 3, 2022 | 290.36 Mn |
| Apr 3, 2022 | 274.14 Mn |
| Dec 31, 2021 | 261.43 Mn |
API Access
Interface Retained Earnings 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=retained-earnings&ticker=TILE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();