Traeger (COOK) EPS (Diluted) (2020 - 2026)
Traeger's EPS (Diluted) was -$3.12 in Q2 2026, compared with -$2.77 a year earlier.
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Analysis
Traeger (COOK) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Traeger's EPS (Diluted) was -$40.99 through Jun 30, 2026; for FY2025, it was -$43.27.
- In earlier years, EPS (Diluted) was -$13.34 in FY2024, -$34.11 in FY2023, -$159.63 in FY2022 and -$40.83 in FY2021.
- Quarterly EPS (Diluted) has moved between -$88.03 (Q3 2022) and $1.08 (Q1 2026) over five years.
- Per Business Quant data, COOK's EPS (Diluted) in the three quarters before Q2 2026 was $1.08 (Q1 2026), -$6.46 (Q4 2025) and -$33.46 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn | 0.92 |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn | 0.52 |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn | 0.71 |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn | 0.25 |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn | 0.25 |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 1.15 |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn | 0.28 |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn | 0.06 |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn | 0.38 |
| 10 | Traeger | 122.14 Mn | 3.27 Mn | 47.42 Mn | -3.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.12 |
| Mar 31, 2026 | 1.08 |
| Dec 31, 2025 | -6.46 |
| Sep 30, 2025 | -33.46 |
| Jun 30, 2025 | -2.77 |
| Mar 31, 2025 | -0.30 |
| Dec 31, 2024 | -2.73 |
| Sep 30, 2024 | -7.71 |
| Jun 30, 2024 | -1.01 |
| Mar 31, 2024 | -1.87 |
| Dec 31, 2023 | -9.72 |
| Sep 30, 2023 | -7.76 |
| Jun 30, 2023 | -12.26 |
| Mar 31, 2023 | -4.45 |
| Dec 31, 2022 | -12.07 |
| Sep 30, 2022 | -88.03 |
| Jun 30, 2022 | -56.31 |
| Mar 31, 2022 | -3.80 |
| Dec 31, 2021 | -15.30 |
| Sep 30, 2021 | -38.99 |
API Access
Traeger EPS (Diluted) 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=eps-diluted&ticker=COOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=COOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();