Traeger (COOK) Operating Expenses (2020 - 2026)
Traeger (COOK) reported Operating Expenses of $49.12 million for Q2 2026, down 22.1% from $63.1 million a year earlier but up 11.5% from the prior quarter.
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Analysis
Traeger (COOK) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Traeger's Operating Expenses came in at $291.09 million, up 17.7% year-over-year; for FY2025, it came in at $317.07 million, up 22.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $258.41 million in FY2024 (-7.4%), $279 million in FY2023 (-51.5%), $574.71 million in FY2022 (+58.8%) and $361.91 million in FY2021 (+105.1%).
- Five-year quarterly Operating Expenses spans a low of $44.04 million in Q1 2026 and a high of $225.56 million in Q3 2022.
- Year over year, Operating Expenses has now declined in each of the last three quarters, with growth averaging 7.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 161.3%); the low point was Q3 2023 (a decline of 74.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $44.04 million (Q1 2026), $66.03 million (Q4 2025) and $131.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn | - |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn | 96.68 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn | 333.50 Mn |
| 10 | Traeger | 122.14 Mn | 3.27 Mn | 47.42 Mn | 49.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.12 Mn |
| Mar 31, 2026 | 44.04 Mn |
| Dec 31, 2025 | 66.03 Mn |
| Sep 30, 2025 | 131.91 Mn |
| Jun 30, 2025 | 63.10 Mn |
| Mar 31, 2025 | 56.05 Mn |
| Dec 31, 2024 | 69.13 Mn |
| Sep 30, 2024 | 59.12 Mn |
| Jun 30, 2024 | 67.53 Mn |
| Mar 31, 2024 | 62.64 Mn |
| Dec 31, 2023 | 71.83 Mn |
| Sep 30, 2023 | 57.55 Mn |
| Jun 30, 2023 | 90.94 Mn |
| Mar 31, 2023 | 58.69 Mn |
| Dec 31, 2022 | 68.88 Mn |
| Sep 30, 2022 | 225.56 Mn |
| Jun 30, 2022 | 194.12 Mn |
| Mar 31, 2022 | 86.16 Mn |
| Dec 31, 2021 | 92.70 Mn |
| Sep 30, 2021 | 136.13 Mn |
API Access
Traeger Operating Expenses 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=operating-expenses&ticker=COOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=COOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();