Central Garden & Pet (CENT) Change in Accured Expenses (2010 - 2026)
Central Garden & Pet (CENT) reported Change in Accured Expenses of $17.91 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 10.4% from $19.97 million a year earlier and down 8.7% from the prior quarter.
Central Garden & Pet (CENT) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Central Garden & Pet's Change in Accured Expenses came in at $588,000, down 95.9% year-over-year; for FY2025 (ended Sep 27, 2025), it was $1.35 million, down 92.1% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of -54.9% (FY2020 to FY2025).
- By fiscal year, Change in Accured Expenses came in at $17.15 million in FY2024 (+153.5%), $6.77 million in FY2023, -$33.5 million in FY2022 and $6.73 million in FY2021 (-90.7%).
- Five-year quarterly Change in Accured Expenses spans a low of -$47.04 million in fiscal Q4 2025 and a high of $44.68 million in fiscal Q3 2023.
- Year over year, Change in Accured Expenses gained in three of the last six quarters, with growth averaging 65.0%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q3 2025 (growth of 351.1%); the low point was fiscal Q3 2024 (a decline of 90.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $19.62 million (Q2 2026), $10.11 million (Q1 2026) and -$47.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 113.25 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | -26.00 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 22.60 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | -15.90 Mn |
| 10 | Central Garden & Pet | 2.04 Bn | -1.21 Bn | 316.92 Mn | 17.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 17.91 Mn |
| Mar 28, 2026 | 19.62 Mn |
| Dec 27, 2025 | 10.11 Mn |
| Sep 27, 2025 | -47.04 Mn |
| Jun 28, 2025 | 19.97 Mn |
| Mar 29, 2025 | 10.97 Mn |
| Dec 28, 2024 | 17.45 Mn |
| Sep 28, 2024 | -34.06 Mn |
| Jun 29, 2024 | 4.43 Mn |
| Mar 30, 2024 | 37.25 Mn |
| Dec 30, 2023 | 9.53 Mn |
| Sep 30, 2023 | -37.46 Mn |
| Jun 24, 2023 | 44.68 Mn |
| Mar 25, 2023 | 22.59 Mn |
| Dec 24, 2022 | -23.05 Mn |
| Sep 24, 2022 | -26.42 Mn |
| Jun 25, 2022 | 2.97 Mn |
| Mar 26, 2022 | -248,000.00 |
| Dec 25, 2021 | -9.79 Mn |
| Sep 25, 2021 | -3.37 Mn |
Central Garden & Pet 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=CENT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CENT", "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=CENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();