Traeger (COOK) Depreciation and Depletion (2020 - 2026)
Traeger's Depreciation and Depletion came in at $2.65 million for Q2 2026, down 5.6% from $2.81 million a year earlier and down 1.0% from the prior quarter.
Traeger (COOK) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Traeger reported Depreciation and Depletion of $10.91 million, down 19.5% year-over-year; for FY2025, it was $12.14 million, down 12.5% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $13.87 million in FY2024 (-7.6%), $15.01 million in FY2023 (+8.6%), $13.82 million in FY2022 (+51.0%) and $9.15 million in FY2021 (+17.9%).
- The Q2 2026 figure represents the lowest quarterly Depreciation and Depletion since Q1 2022.
- Year-over-year, Depreciation and Depletion has declined for five consecutive quarters, with an average decline of 12.4% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q3 2022 (growth of 71.2%), and the weakest in Q1 2026 (a decline of 28.6%).
- Business Quant data shows COOK's Depreciation and Depletion at $2.68 million (Q1 2026), $2.78 million (Q4 2025) and $2.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.06 Bn | 25.73 Bn | 860.34 Mn | - |
| 2 | Somnigroup International | 13.89 Bn | 13.44 Bn | 817.20 Mn | - |
| 3 | Hni | 3.48 Bn | 3.05 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.44 Bn | 1.60 Bn | 812.00 Mn | 47.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | - |
| 6 | Whirlpool | 1.87 Bn | -1.61 Bn | 442.00 Mn | - |
| 7 | Arhaus | 1.63 Bn | 712.01 Mn | 172.07 Mn | - |
| 8 | Millerknoll | 1.49 Bn | 853.64 Mn | 385.30 Mn | - |
| 9 | Corsair Gaming | 1.48 Bn | 1.02 Bn | 104.29 Mn | 3.65 Mn |
| 10 | Traeger | 126.08 Mn | 7.22 Mn | 47.42 Mn | 2.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.65 Mn |
| Mar 31, 2026 | 2.68 Mn |
| Dec 31, 2025 | 2.78 Mn |
| Sep 30, 2025 | 2.81 Mn |
| Jun 30, 2025 | 2.81 Mn |
| Mar 31, 2025 | 3.75 Mn |
| Dec 31, 2024 | 3.73 Mn |
| Sep 30, 2024 | 3.26 Mn |
| Jun 30, 2024 | 3.26 Mn |
| Mar 31, 2024 | 3.62 Mn |
| Dec 31, 2023 | 3.81 Mn |
| Sep 30, 2023 | 3.74 Mn |
| Jun 30, 2023 | 3.90 Mn |
| Mar 31, 2023 | 3.56 Mn |
| Dec 31, 2022 | 4.12 Mn |
| Sep 30, 2022 | 3.68 Mn |
| Jun 30, 2022 | 3.54 Mn |
| Mar 31, 2022 | 2.48 Mn |
| Dec 31, 2021 | 2.50 Mn |
| Sep 30, 2021 | 2.15 Mn |
Traeger Depreciation and Depletion 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=depreciation-and-depletion&ticker=COOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=COOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();