Chewy (CHWY) Selling, General & Administrative (2018 - 2026)
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Analysis
Chewy (CHWY) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.12 Bn | 95.58 Bn | - | - |
| 2 | Mondelez International | 84.19 Bn | 77.20 Bn | 3.92 Bn | 2.01 Bn |
| 3 | Hershey | 35.81 Bn | 32.54 Bn | 1.51 Bn | 692.87 Mn |
| 4 | Kraft Heinz | 29.23 Bn | 16.88 Bn | 1.99 Bn | 1.11 Bn |
| 5 | General Mills | 19.05 Bn | 16.70 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 13.93 Bn | 13.71 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 13.03 Bn | 12.10 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 12.08 Bn | 8.75 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Lamb Weston Holdings | 7.60 Bn | 7.23 Bn | 266.50 Mn | 170.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 704.40 Mn |
| May 3, 2026 | 676.80 Mn |
| Feb 1, 2026 | 684.60 Mn |
| Nov 2, 2025 | 665.10 Mn |
| Aug 3, 2025 | 671.90 Mn |
| May 4, 2025 | 653.10 Mn |
| Feb 2, 2025 | 700.70 Mn |
| Oct 27, 2024 | 626.50 Mn |
| Jul 28, 2024 | 621.20 Mn |
| Apr 28, 2024 | 602.60 Mn |
| Jan 28, 2024 | 626.05 Mn |
| Oct 29, 2023 | 612.38 Mn |
| Jul 30, 2023 | 619.89 Mn |
| Apr 30, 2023 | 584.39 Mn |
| Jan 29, 2023 | 563.89 Mn |
| Oct 30, 2022 | 543.53 Mn |
| Jul 31, 2022 | 516.98 Mn |
| May 1, 2022 | 504.28 Mn |
| Jan 30, 2022 | 529.81 Mn |
| Oct 31, 2021 | 466.43 Mn |
API Access
Chewy Selling, General & Administrative 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=selling-general-and-administrative&ticker=CHWY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();