Andersons (ANDE) Cost of Revenue (2009 - 2026)
Andersons' Cost of Revenue came in at $2.87 billion for Q2 2026, down 3.5% from $2.98 billion a year earlier but up 16.5% from the prior quarter.
Andersons (ANDE) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Andersons reported Cost of Revenue of $10.15 billion, down 6.3% year-over-year; for FY2025, it was $10.3 billion, down 2.5% from FY2024.
- Cost of Revenue has declined in each of the last three years, though with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $10.56 billion in FY2024 (-24.6%), $14 billion in FY2023 (-15.8%), $16.64 billion in FY2022 (+38.5%) and $12.02 billion in FY2021 (+56.1%).
- The five-year range for quarterly Cost of Revenue is $2.3 billion (Q4 2025) to $4.51 billion (Q4 2022).
- Year-over-year, Cost of Revenue has declined for three consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2021 (growth of 60.5%), and the weakest in Q4 2023 (a decline of 33.5%).
- Business Quant data shows ANDE's Cost of Revenue at $2.47 billion (Q1 2026), $2.3 billion (Q4 2025) and $2.51 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 20.75 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 22.36 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 12.95 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 21.31 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 1.22 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 3.22 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 4.29 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 1.42 Bn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 2.70 Bn |
| 10 | Andersons | 2.30 Bn | 2.02 Bn | 223.73 Mn | 2.87 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.87 Bn |
| Mar 31, 2026 | 2.47 Bn |
| Dec 31, 2025 | 2.30 Bn |
| Sep 30, 2025 | 2.51 Bn |
| Jun 30, 2025 | 2.98 Bn |
| Mar 31, 2025 | 2.51 Bn |
| Dec 31, 2024 | 2.91 Bn |
| Sep 30, 2024 | 2.44 Bn |
| Jun 30, 2024 | 2.62 Bn |
| Mar 31, 2024 | 2.59 Bn |
| Dec 31, 2023 | 3.00 Bn |
| Sep 30, 2023 | 3.48 Bn |
| Jun 30, 2023 | 3.80 Bn |
| Mar 31, 2023 | 3.73 Bn |
| Dec 31, 2022 | 4.51 Bn |
| Sep 30, 2022 | 4.06 Bn |
| Jun 30, 2022 | 4.22 Bn |
| Mar 31, 2022 | 3.86 Bn |
| Dec 31, 2021 | 3.59 Bn |
| Sep 30, 2021 | 2.88 Bn |
Andersons Cost of Revenue 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=cost-of-revenue&ticker=ANDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ANDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();