Interface (TILE) Shares Outstanding (2009 - 2026)
Interface (TILE) recorded Weighted Average Shares Outstanding of 57.92 million in Q2 2026, down 1.1% from 58.56 million a year earlier and down 0.3% from the prior quarter.
Interface (TILE) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Interface reported Weighted Average Shares Outstanding of 58.38 million, up 0.2% from FY2024.
- Annual Weighted Average Shares Outstanding has a four-year compound annual growth rate of -0.1% (FY2021 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 58.28 million in FY2024 (+0.3%), 58.09 million in FY2023 (-1.3%), 58.87 million in FY2022 and 58.55 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Weighted Average Shares Outstanding in data going back to Q4 2011.
- On a year-over-year basis, Weighted Average Shares Outstanding rose in six of the last eight quarters, with an average year-over-year change of 0.0%.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 0.5% in Q2 2025, against a decline of 1.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 58.1 million (Q1 2026), 58.38 million (Q4 2025) and 58.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 220.00 Mn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | 608.00 Mn |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 821.80 Mn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 35.12 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 381.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 581.00 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 196.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 84.80 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 39.40 Mn |
| 10 | Interface | 1.84 Bn | 1.55 Bn | 148.75 Mn | 57.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 57.80 Mn |
| Jul 5, 2026 | 57.92 Mn |
| Apr 5, 2026 | 58.10 Mn |
| Dec 28, 2025 | 58.38 Mn |
| Sep 28, 2025 | 58.37 Mn |
| Jun 29, 2025 | 58.56 Mn |
| Mar 30, 2025 | 58.43 Mn |
| Dec 29, 2024 | 58.28 Mn |
| Sep 29, 2024 | 58.31 Mn |
| Jun 30, 2024 | 58.28 Mn |
| Mar 31, 2024 | 58.24 Mn |
| Dec 31, 2023 | 58.09 Mn |
| Oct 1, 2023 | 58.11 Mn |
| Jul 2, 2023 | 58.07 Mn |
| Apr 2, 2023 | 58.08 Mn |
| Dec 31, 2022 | 58.87 Mn |
| Oct 2, 2022 | 58.68 Mn |
| Jul 3, 2022 | 59.37 Mn |
| Apr 3, 2022 | 59.25 Mn |
| Dec 31, 2021 | 58.97 Mn |
Interface Shares Outstanding 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=shares-outstanding&ticker=TILE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();