Archer-Daniels-Midland (ADM) Net Income Attributable to Noncontrolling Interests (2009 - 2026)
Archer-Daniels-Midland's Net Income Attributable to Noncontrolling Interests came in at $5 million for Q3 2026, up 150.0% from $2 million a year earlier and up 25.0% from the prior quarter.
Archer-Daniels-Midland (ADM) Net Income Attributable to Noncontrolling Interests (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Archer-Daniels-Midland reported Net Income Attributable to Noncontrolling Interests of $12 million; for FY2025, it came in at -$5 million.
- Going back by year, Net Income Attributable to Noncontrolling Interests was -$21 million in FY2024, -$17 million in FY2023, $25 million in FY2022 (-3.8%) and $26 million in FY2021 (+160.0%).
- The five-year range for quarterly Net Income Attributable to Noncontrolling Interests is -$23 million (Q4 2023) to $15 million (Q4 2021).
- The fastest year-over-year change in Net Income Attributable to Noncontrolling Interests over five years came in Q3 2026 (growth of 150.0%), and the weakest in Q1 2023 (a decline of 80.0%).
- Business Quant data shows ADM's Net Income Attributable to Noncontrolling Interests at $4 million (Q2 2026), $5 million (Q1 2026) and -$2 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 5.00 Mn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 4.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 29.00 Mn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 24.43 Mn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 1.33 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 1.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | -1.29 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | - |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | - |
| 10 | Seaboard | 3.59 Bn | -1.46 Bn | 132.00 Mn | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.00 Mn |
| Jun 30, 2026 | 4.00 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | -2.00 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | -2.00 Mn |
| Mar 31, 2025 | -3.00 Mn |
| Dec 31, 2024 | -6.00 Mn |
| Jun 30, 2024 | -5.00 Mn |
| Mar 31, 2024 | -10.00 Mn |
| Dec 31, 2023 | -23.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Mar 31, 2022 | 10.00 Mn |
| Dec 31, 2021 | 15.00 Mn |
| Sep 30, 2021 | 7.00 Mn |
Archer-Daniels-Midland Net Income Attributable to Noncontrolling Interests 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=income-from-non-controlling-interests&ticker=ADM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "ADM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-from-non-controlling-interests&ticker=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();