Andersons (ANDE) Other Operating Expenses (2009 - 2026)
Andersons (ANDE) posted Other Operating Expenses of $173.77 million for Q2 2026, up 29.1% from $134.59 million a year earlier and up 20.1% from the prior quarter.
Andersons (ANDE) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Andersons was $623.33 million, up 13.7% year-over-year; for FY2025, it came in at $585.23 million, up 16.2% from FY2024.
- Annual Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In prior years, Andersons' Other Operating Expenses was $503.62 million in FY2024 (+2.3%), $492.26 million in FY2023 (+7.6%), $457.56 million in FY2022 (+8.1%) and $423.13 million in FY2021 (+12.0%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 13.2%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2025, with growth of 43.2%; the weakest was Q4 2025, with a decline of 10.1%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $144.66 million (Q1 2026), $132.34 million (Q4 2025) and $172.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Andersons | 2.23 Bn | 1.95 Bn | 223.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.77 Mn |
| Mar 31, 2026 | 144.66 Mn |
| Dec 31, 2025 | 132.34 Mn |
| Sep 30, 2025 | 172.55 Mn |
| Jun 30, 2025 | 134.59 Mn |
| Mar 31, 2025 | 145.75 Mn |
| Dec 31, 2024 | 147.15 Mn |
| Sep 30, 2024 | 120.49 Mn |
| Jun 30, 2024 | 116.61 Mn |
| Mar 31, 2024 | 119.36 Mn |
| Dec 31, 2023 | 132.71 Mn |
| Sep 30, 2023 | 126.31 Mn |
| Jun 30, 2023 | 116.01 Mn |
| Mar 31, 2023 | 117.24 Mn |
| Dec 31, 2022 | 127.47 Mn |
| Sep 30, 2022 | 115.54 Mn |
| Jun 30, 2022 | 112.56 Mn |
| Mar 31, 2022 | 101.99 Mn |
| Dec 31, 2021 | 110.29 Mn |
| Sep 30, 2021 | 110.28 Mn |
Andersons Other 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=other-operating-expenses&ticker=ANDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ANDE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=ANDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();