Australian Oilseeds Holdings (COOT) Operating Expenses (2023 - 2025)
Australian Oilseeds Holdings' Operating Expenses was -$1.18 million in fiscal Q1 2026 (quarter ended Dec 31, 2025).
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Analysis
Australian Oilseeds Holdings (COOT) Operating Expenses (2023 - 2025) Analysis & Trends
On a trailing twelve-month basis, Australian Oilseeds Holdings' Operating Expenses was -$769,904 through Dec 31, 2025; for FY2025 (ended Sep 30, 2025), it came in at -$2.09 million.
- In earlier fiscal years, Operating Expenses was -$2.11 million in FY2024 and -$1.65 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 121.00 Mn |
| 10 | Australian Oilseeds Holdings | 13.11 Mn | 9.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 43,943.62 |
| Dec 31, 2024 | 55,709.91 |
| Sep 30, 2024 | 133,477.55 |
| Mar 31, 2024 | 9,875.44 |
| Dec 31, 2023 | 121,300.36 |
| Sep 30, 2023 | 45,113.64 |
API Access
Australian Oilseeds Holdings 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=COOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "COOT", "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=COOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();