Traeger (COOK) Property, Plant & Equipment (Net) (2020 - 2026)
Traeger (COOK) posted Property, Plant & Equipment (Net) of $29.12 million for Q2 2026, down 15.6% from $34.52 million a year earlier and down 8.8% from the prior quarter.
Traeger (COOK) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Traeger's Property, Plant & Equipment (Net) came in at $33.7 million, down 8.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three consecutive years, though with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, Traeger's Property, Plant & Equipment (Net) was $36.95 million in FY2024 (-13.2%), $42.59 million in FY2023 (-23.3%), $55.51 million in FY2022 (+0.1%) and $55.48 million in FY2021 (+71.2%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 14 quarters, with an average decline of 14.5% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2022, with growth of 77.7%; the weakest was Q3 2024, with a decline of 30.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $31.93 million (Q1 2026), $33.7 million (Q4 2025) and $33.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.66 Bn | 25.33 Bn | 860.34 Mn | 251.26 Mn |
| 2 | Somnigroup International | 13.61 Bn | 13.16 Bn | 817.20 Mn | 1.01 Bn |
| 3 | Hni | 3.43 Bn | 3.00 Bn | 647.20 Mn | 1.02 Bn |
| 4 | Newell Brands | 2.28 Bn | 1.44 Bn | 812.00 Mn | 1.18 Bn |
| 5 | Sonos | 2.07 Bn | 973.78 Mn | 189.31 Mn | 60.14 Mn |
| 6 | Whirlpool | 1.83 Bn | -1.65 Bn | 442.00 Mn | 2.23 Bn |
| 7 | Arhaus | 1.66 Bn | 736.06 Mn | 172.07 Mn | 331.04 Mn |
| 8 | Corsair Gaming | 1.49 Bn | 1.03 Bn | 104.29 Mn | 30.37 Mn |
| 9 | Millerknoll | 1.45 Bn | 816.50 Mn | 385.30 Mn | 515.40 Mn |
| 10 | Traeger | 130.67 Mn | 11.81 Mn | 47.42 Mn | 29.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.12 Mn |
| Mar 31, 2026 | 31.93 Mn |
| Dec 31, 2025 | 33.70 Mn |
| Sep 30, 2025 | 33.74 Mn |
| Jun 30, 2025 | 34.52 Mn |
| Mar 31, 2025 | 35.62 Mn |
| Dec 31, 2024 | 36.95 Mn |
| Sep 30, 2024 | 38.24 Mn |
| Jun 30, 2024 | 39.81 Mn |
| Mar 31, 2024 | 40.73 Mn |
| Dec 31, 2023 | 42.59 Mn |
| Sep 30, 2023 | 55.23 Mn |
| Jun 30, 2023 | 52.27 Mn |
| Mar 31, 2023 | 49.78 Mn |
| Dec 31, 2022 | 55.51 Mn |
| Sep 30, 2022 | 75.14 Mn |
| Jun 30, 2022 | 69.81 Mn |
| Mar 31, 2022 | 64.69 Mn |
| Dec 31, 2021 | 55.48 Mn |
| Sep 30, 2021 | 48.36 Mn |
Traeger 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=COOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "COOK", "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=COOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();