Tile Shop Holdings (TTSH) Property, Plant & Equipment (Net) (2011 - 2025)
Tile Shop Holdings (TTSH) posted Property, Plant & Equipment (Net) of $54.32 million for Q4 2025, down 9.1% from $59.73 million a year earlier and down 4.2% from the prior quarter.
Tile Shop Holdings (TTSH) Property, Plant & Equipment (Net) (2011 - 2025) Analysis & Trends
Since Q4 2011, Tile Shop Holdings has reported Property, Plant & Equipment (Net) for 55 quarters.
- Annual Property, Plant & Equipment (Net) has declined for seven consecutive years, with a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- In prior years, Tile Shop Holdings' Property, Plant & Equipment (Net) was $59.73 million in FY2024 (-7.1%), $64.32 million in FY2023 (-9.5%), $71.1 million in FY2022 (-13.6%) and $82.29 million in FY2021 (-16.9%).
- The Q4 2025 figure stands as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2011.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 28 quarters, with an average decline of 6.8% over the last eight quarters.
- Over the past five years, the year-over-year decline in Property, Plant & Equipment (Net) ranged from 1.5% (Q2 2025) to 21.7% (Q1 2021).
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $56.68 million (Q3 2025), $59.09 million (Q2 2025) and $59.57 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 18.28 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 6.55 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.26 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 34.77 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.86 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Tile Shop Holdings | 79.64 Mn | -9.44 Mn | 47.83 Mn | 54.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 54.32 Mn |
| Sep 30, 2025 | 56.68 Mn |
| Jun 30, 2025 | 59.09 Mn |
| Mar 31, 2025 | 59.57 Mn |
| Dec 31, 2024 | 59.73 Mn |
| Sep 30, 2024 | 60.90 Mn |
| Jun 30, 2024 | 59.96 Mn |
| Mar 31, 2024 | 62.37 Mn |
| Dec 31, 2023 | 64.32 Mn |
| Sep 30, 2023 | 65.13 Mn |
| Jun 30, 2023 | 66.94 Mn |
| Mar 31, 2023 | 68.38 Mn |
| Dec 31, 2022 | 71.10 Mn |
| Sep 30, 2022 | 73.37 Mn |
| Jun 30, 2022 | 76.62 Mn |
| Mar 31, 2022 | 79.19 Mn |
| Dec 31, 2021 | 82.29 Mn |
| Sep 30, 2021 | 86.90 Mn |
| Jun 30, 2021 | 91.38 Mn |
| Mar 31, 2021 | 94.77 Mn |
Tile Shop Holdings Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "TTSH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();