Traeger (COOK) Restructuring Costs (2022 - 2026)
Traeger (COOK) recorded Restructuring Costs of $1.5 million in Q2 2026, down 57.1% from $3.5 million a year earlier and down 53.1% from the prior quarter.
Traeger (COOK) Restructuring Costs (2022 - 2026) Analysis & Trends
On a TTM basis, Traeger's Restructuring Costs came in at $23.07 million as of Jun 30, 2026, up 559.2% year-over-year; for FY2025, it came in at $21.84 million.
- Annual Restructuring Costs has a three-year compound annual growth rate of 32.8% (FY2022 to FY2025).
- Across earlier years, Restructuring Costs came in at $225,000 in FY2023 (-97.6%) and $9.32 million in FY2022.
- The Q2 2026 figure is the lowest quarterly Restructuring Costs since Q3 2023.
- Per Business Quant, the preceding three quarters came in at $3.2 million (Q1 2026), $12.17 million (Q4 2025) and $6.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn |
| 10 | Traeger | 122.14 Mn | 3.27 Mn | 47.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 Mn |
| Mar 31, 2026 | 3.20 Mn |
| Dec 31, 2025 | 12.17 Mn |
| Sep 30, 2025 | 6.20 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Sep 30, 2023 | 225,000.00 |
| Dec 31, 2022 | 1.29 Mn |
| Sep 30, 2022 | 8.04 Mn |
Traeger 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=COOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=COOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();