Chewy (CHWY) Change in Accured Expenses (2018 - 2026)
Chewy (CHWY) reported Change in Accured Expenses of -$15.9 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), compared with $11.9 million a year earlier.
Chewy (CHWY) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Chewy's Change in Accured Expenses came in at $53.5 million, down 39.5% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $53 million, down 51.7% from FY2025.
- Change in Accured Expenses has a five-year compound annual growth rate of -22.3% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $109.7 million in FY2025 (-28.0%), $152.3 million in FY2024, $7.93 million in FY2023 (-93.8%) and $128.71 million in FY2022 (-31.1%).
- Five-year quarterly Change in Accured Expenses spans a low of -$61.7 million in fiscal Q1 2026 and a high of $92.65 million in fiscal Q2 2024.
- Year over year, Change in Accured Expenses gained in two of the last five quarters, with growth averaging 207.1%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q3 2025 (growth of 666.7%); the low point was fiscal Q1 2023 (a decline of 86.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$33.4 million (Q1 2027), $66.1 million (Q4 2026) and $36.7 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.49 Bn | 73.76 Bn | 3.99 Bn | - |
| 3 | Hershey | 33.10 Bn | 29.34 Bn | 1.26 Bn | 113.25 Mn |
| 4 | Kraft Heinz | 27.00 Bn | 13.42 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.21 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.96 Bn | 12.74 Bn | 979.60 Mn | -26.00 Mn |
| 7 | Mccormick | 12.08 Bn | 11.14 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 22.60 Mn |
| 9 | Chewy | 8.19 Bn | 5.48 Bn | 1.01 Bn | -15.90 Mn |
| 10 | Lamb Weston Holdings | 7.30 Bn | 6.93 Bn | 266.50 Mn | -53.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | -15.90 Mn |
| May 3, 2026 | -33.40 Mn |
| Feb 1, 2026 | 66.10 Mn |
| Nov 2, 2025 | 36.70 Mn |
| Aug 3, 2025 | 11.90 Mn |
| May 4, 2025 | -61.70 Mn |
| Feb 2, 2025 | 69.20 Mn |
| Oct 27, 2024 | 69.00 Mn |
| Jul 28, 2024 | 29.80 Mn |
| Apr 28, 2024 | -58.30 Mn |
| Jan 28, 2024 | 11.93 Mn |
| Oct 29, 2023 | 9.00 Mn |
| Jul 30, 2023 | 92.65 Mn |
| Apr 30, 2023 | 38.72 Mn |
| Jan 29, 2023 | -34.37 Mn |
| Oct 30, 2022 | 49.65 Mn |
| Jul 31, 2022 | -10.22 Mn |
| May 1, 2022 | 2.88 Mn |
| Jan 30, 2022 | 40.70 Mn |
| Oct 31, 2021 | 9.78 Mn |
Chewy Change in Accured Expenses 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=change-in-accured-expenses&ticker=CHWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();