Oil-Dri Corp of America (ODC) Operating Expenses (2010 - 2026)
Oil-Dri Corp of America's Operating Expenses was $17.74 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), down 7.5% from $19.19 million a year earlier but up 6.7% from the prior quarter.
Oil-Dri Corp of America (ODC) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Operating Expenses at Oil-Dri Corp of America came in at $69.53 million, down 7.1% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $74.86 million in FY2025 (+1.9%), $73.45 million in FY2024 (+18.1%), $62.19 million in FY2023 (+19.5%) and $52.05 million in FY2022 (-0.3%).
- Quarterly Operating Expenses has moved between $11 million (fiscal Q4 2022) and $20.13 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for six straight quarters, with an average decline of 2.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2023 (growth of 61.2%); the worst was fiscal Q4 2022 (a decline of 16.2%).
- Per Business Quant data, ODC's Operating Expenses in the three fiscal quarters before Q4 2026 was $16.64 million (Q3 2026), $16.61 million (Q2 2026) and $18.54 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | -780.00 Mn |
| 10 | Oil-Dri Corp of America | 1.00 Bn | 778.63 Mn | 35.99 Mn | 17.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.74 Mn |
| Apr 30, 2026 | 16.64 Mn |
| Jan 31, 2026 | 16.61 Mn |
| Oct 31, 2025 | 18.54 Mn |
| Jul 31, 2025 | 19.19 Mn |
| Apr 30, 2025 | 19.12 Mn |
| Jan 31, 2025 | 16.97 Mn |
| Oct 31, 2024 | 19.59 Mn |
| Jul 31, 2024 | 20.13 Mn |
| Apr 30, 2024 | 19.71 Mn |
| Jan 31, 2024 | 15.78 Mn |
| Oct 31, 2023 | 17.84 Mn |
| Jul 31, 2023 | 17.73 Mn |
| Apr 30, 2023 | 13.01 Mn |
| Jan 31, 2023 | 15.71 Mn |
| Oct 31, 2022 | 15.74 Mn |
| Jul 31, 2022 | 11.00 Mn |
| Apr 30, 2022 | 14.01 Mn |
| Jan 31, 2022 | 13.67 Mn |
| Oct 31, 2021 | 13.37 Mn |
Oil-Dri Corp of America 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=ODC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ODC", "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=ODC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();