Chewy (CHWY) EBIT (2018 - 2026)
Chewy's (CHWY) quarterly EBIT came in at $92.0 million in Q3 2026, up 31.99% year-over-year from $69.7 million in Q3 2025, and down 28.4% on a QoQ basis from $128.5 million in Q2 2026.
Chewy (CHWY) EBIT (2018 - 2026) Analysis & Trends
Chewy (CHWY) has 9 years of EBIT data on file, last reported at $92.0 million in Q3 2026.
- On a quarterly basis, EBIT rose 31.99% year-over-year to $92.0 million in Q3 2026; TTM through Aug 2026 was $328.2 million, a 101.97% increase from a year earlier, with the FY2026 full-year figure at $254.3 million, up 125.84% from the prior year.
- EBIT for Q3 2026 stood at $92.0 million, down from $128.5 million in the prior quarter.
- Across five years, EBIT topped out at $128.5 million in Q2 2026 and bottomed at -$64.6 million in Q1 2022.
- Historically, EBIT has averaged $29.2 million across 5 years, with a median of $24.7 million in 2023.
- The widest annual swing landed in 2023, when EBIT slumped 2139.4%; it then surged 538.14% in 2026.
- Year by year, EBIT stood at -$434000.0 in 2022, then slumped by 2139.4% to -$9.7 million in 2023, then soared by 363.4% to $25.6 million in 2024, then jumped by 154.69% to $65.2 million in 2025, then jumped by 41.1% to $92.0 million in 2026.
- Per Business Quant data, the three most recent EBIT figures were $92.0 million in Q3 2026, $128.5 million in Q2 2026, and $42.5 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - | - |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn | -6.43 Bn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn | -2.09 Bn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn | 276.40 Mn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn | 511.60 Mn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn | 110.90 Mn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn | 92.00 Mn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn | -1.66 Bn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn | 168.80 Mn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 92.00 Mn |
| May 3, 2026 | 128.50 Mn |
| Feb 1, 2026 | 42.50 Mn |
| Nov 2, 2025 | 65.20 Mn |
| Aug 3, 2025 | 69.70 Mn |
| May 4, 2025 | 76.90 Mn |
| Feb 2, 2025 | -9.70 Mn |
| Oct 27, 2024 | 25.60 Mn |
| Jul 28, 2024 | 32.10 Mn |
| Apr 28, 2024 | 64.60 Mn |
| Jan 28, 2024 | -21.96 Mn |
| Oct 29, 2023 | -9.72 Mn |
| Jul 30, 2023 | -16.66 Mn |
| Apr 30, 2023 | 24.73 Mn |
| Jan 29, 2023 | 16.38 Mn |
| Oct 30, 2022 | -434,000.00 |
| Jul 31, 2022 | 21.66 Mn |
| May 1, 2022 | 18.82 Mn |
| Jan 30, 2022 | -64.57 Mn |
| Oct 31, 2021 | -31.93 Mn |
Chewy EBIT 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=ebit&ticker=CHWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "CHWY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();