Central Garden & Pet (CENT) Operating Expenses (2010 - 2026)
Central Garden & Pet's Operating Expenses came in at $191.07 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 3.0% from $196.88 million a year earlier but up 2.9% from the prior quarter.
Central Garden & Pet (CENT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Central Garden & Pet reported Operating Expenses of $753.72 million, up 1.1% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $747.29 million, down 1.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $758.35 million in FY2024 (+3.0%), $736.2 million in FY2023 (+0.5%), $732.27 million in FY2022 (+2.2%) and $716.41 million in FY2021 (+19.7%).
- The five-year range for quarterly Operating Expenses is $167.71 million (fiscal Q1 2025) to $203.17 million (fiscal Q4 2021).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 0.6%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2022 (growth of 24.3%), and the weakest in fiscal Q4 2022 (a decline of 8.1%).
- Business Quant data shows CENT's Operating Expenses at $185.63 million (Q2 2026), $174.08 million (Q1 2026) and $202.94 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 441.80 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Central Garden & Pet | 1.99 Bn | -1.26 Bn | 316.92 Mn | 191.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 191.07 Mn |
| Mar 28, 2026 | 185.63 Mn |
| Dec 27, 2025 | 174.08 Mn |
| Sep 27, 2025 | 202.94 Mn |
| Jun 28, 2025 | 196.88 Mn |
| Mar 29, 2025 | 179.76 Mn |
| Dec 28, 2024 | 167.71 Mn |
| Sep 28, 2024 | 201.36 Mn |
| Jun 29, 2024 | 201.12 Mn |
| Mar 30, 2024 | 185.43 Mn |
| Dec 30, 2023 | 170.43 Mn |
| Sep 30, 2023 | 188.08 Mn |
| Jun 24, 2023 | 195.22 Mn |
| Mar 25, 2023 | 181.60 Mn |
| Dec 24, 2022 | 171.29 Mn |
| Sep 24, 2022 | 186.79 Mn |
| Jun 25, 2022 | 193.55 Mn |
| Mar 26, 2022 | 179.95 Mn |
| Dec 25, 2021 | 171.98 Mn |
| Sep 25, 2021 | 203.17 Mn |
Central Garden & Pet Operating 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=operating-expenses&ticker=CENT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();