Chewy (CHWY) Tax Provisions (2023 - 2026)
Chewy's (CHWY) quarterly Tax Provisions came in at $31.4 million in Q3 2026, up 161.67% year-over-year from $12.0 million in Q3 2025, and down 13.97% on a QoQ basis from $36.5 million in Q2 2026.
Chewy (CHWY) Tax Provisions (2023 - 2026) Analysis & Trends
Chewy (CHWY) has 4 years of Tax Provisions data on file, last reported at $31.4 million in Q3 2026.
- On a quarterly basis, Tax Provisions rose 161.67% year-over-year to $31.4 million in Q3 2026; TTM through Aug 2026 was $80.9 million, a 193.12% increase from a year earlier, with the FY2026 full-year figure at $40.5 million, up 116.8% from the prior year.
- Tax Provisions for Q3 2026 stood at $31.4 million, down from $36.5 million in the prior quarter.
- Across five years, Tax Provisions topped out at $36.5 million in Q2 2026 and bottomed at -$252.6 million in Q3 2024.
- Historically, Tax Provisions has averaged -$8.1 million across 4 years, with a median of $4.7 million in 2024.
- The largest YoY upside for Tax Provisions was 1402.35% in 2024 against a maximum downside of 19471.17% in 2024.
- Year by year, Tax Provisions stood at $1.7 million in 2023, then surged by 1402.35% to $25.6 million in 2024, then tumbled by 60.55% to $10.1 million in 2025, then jumped by 210.89% to $31.4 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $31.4 million in Q3 2026, $36.5 million in Q2 2026, and $2.9 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - | - |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn | -916.00 Mn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn | -240.40 Mn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn | 63.50 Mn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn | 103.60 Mn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn | 43.64 Mn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn | 31.40 Mn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn | -545.80 Mn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn | 13.90 Mn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn | 35.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 31.40 Mn |
| May 3, 2026 | 36.50 Mn |
| Feb 1, 2026 | 2.90 Mn |
| Nov 2, 2025 | 10.10 Mn |
| Aug 3, 2025 | 12.00 Mn |
| May 4, 2025 | 15.50 Mn |
| Feb 2, 2025 | -25.50 Mn |
| Oct 27, 2024 | 25.60 Mn |
| Jul 28, 2024 | -252.60 Mn |
| Apr 28, 2024 | 11.50 Mn |
| Jan 28, 2024 | 4.69 Mn |
| Oct 29, 2023 | 1.70 Mn |
| Jul 30, 2023 | 1.30 Mn |
| Apr 30, 2023 | 1.00 Mn |
| Jan 29, 2023 | 2.65 Mn |
Chewy Tax Provisions 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=tax-provisions&ticker=CHWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();