Chewy (CHWY) Cash & Equivalents (2019 - 2026)
Chewy (CHWY) reported Cash & Equivalents of $611 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 3.2% from $591.8 million a year earlier and up 25.9% from the prior quarter.
Chewy (CHWY) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Chewy posted Cash & Equivalents of $860.1 million, up 44.4% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of 8.8% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $595.8 million in FY2025 (-1.1%), $602.23 million in FY2024 (+81.6%), $331.64 million in FY2023 (-45.0%) and $603.08 million in FY2022 (+7.1%).
- Five-year quarterly Cash & Equivalents spans a low of $331.64 million in fiscal Q4 2023 and a high of $1.13 billion in fiscal Q1 2025.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with growth averaging 0.8%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2025 (growth of 177.6%); the low point was fiscal Q3 2023 (a decline of 48.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $485.2 million (Q1 2027), $860.1 million (Q4 2026) and $675.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.25 Bn | 90.71 Bn | - | 5.40 Bn |
| 2 | Mondelez International | 80.46 Bn | 73.72 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 33.06 Bn | 29.30 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.98 Bn | 13.39 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.96 Bn | 12.75 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.08 Bn | 11.14 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 10.88 Bn | 7.55 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 8.23 Bn | 5.52 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Lamb Weston Holdings | 7.31 Bn | 6.93 Bn | 266.50 Mn | 166.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 611.00 Mn |
| May 3, 2026 | 485.20 Mn |
| Feb 1, 2026 | 860.10 Mn |
| Nov 2, 2025 | 675.40 Mn |
| Aug 3, 2025 | 591.80 Mn |
| May 4, 2025 | 616.40 Mn |
| Feb 2, 2025 | 595.80 Mn |
| Oct 27, 2024 | 506.63 Mn |
| Jul 28, 2024 | 694.46 Mn |
| Apr 28, 2024 | 1.13 Bn |
| Jan 28, 2024 | 602.23 Mn |
| Oct 29, 2023 | 469.41 Mn |
| Jul 30, 2023 | 457.10 Mn |
| Apr 30, 2023 | 408.69 Mn |
| Jan 29, 2023 | 331.64 Mn |
| Oct 30, 2022 | 378.23 Mn |
| Jul 31, 2022 | 606.80 Mn |
| May 1, 2022 | 604.76 Mn |
| Jan 30, 2022 | 603.08 Mn |
| Oct 31, 2021 | 726.92 Mn |
Chewy Cash & Equivalents 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=cash-and-equivalents&ticker=CHWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();