Interface (TILE) Restructuring Costs (2011 - 2023)
Interface's Restructuring Costs came in at -$2.5 million for FY2023, compared with $1.97 million in FY2022.
Analysis
Interface (TILE) Restructuring Costs (2011 - 2023) Analysis & Trends
Going back to FY2010, Interface's Restructuring Costs data covers 11 years.
- The five-year range for annual Restructuring Costs is -$4.63 million (FY2021) to $12.95 million (FY2019).
- Per Business Quant, earlier years put Restructuring Costs at $1.97 million in FY2022, -$4.63 million in FY2021 and $12.95 million in FY2019 (-36.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn |
| 10 | Interface | 2.02 Bn | 1.62 Bn | 178.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 2, 2023 | -2.64 Mn |
| Apr 2, 2023 | 142,000.00 |
| Jan 1, 2023 | -1.66 Mn |
| Oct 2, 2022 | -105,000.00 |
| Jul 3, 2022 | 810,000.00 |
| Apr 3, 2022 | 887,000.00 |
| Oct 3, 2021 | 3.81 Mn |
| Jul 4, 2021 | -62,000.00 |
| Apr 4, 2021 | -130,000.00 |
| Jan 3, 2021 | -1.47 Mn |
| Oct 4, 2020 | -1.88 Mn |
| Jul 5, 2020 | -157,000.00 |
| Apr 5, 2020 | -1.12 Mn |
| Dec 29, 2019 | 12.28 Mn |
| Sep 29, 2019 | 672,000.00 |
| Dec 30, 2018 | 20.53 Mn |
| Dec 31, 2017 | 1,000.00 |
| Apr 2, 2017 | 7.30 Mn |
| Jan 1, 2017 | 19.79 Mn |
| Sep 28, 2014 | 12.39 Mn |
API Access
Interface Restructuring Costs 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=restructuring-costs&ticker=TILE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();