Ingredion (INGR) Return on Sales [ROS] (2009 - 2026)
Ingredion (INGR) reported Return on Sales [ROS] of 11.22% for Q3 2026, down 2.49 percentage points from 13.71% a year earlier but up 1.05 percentage points from the prior quarter.
Ingredion (INGR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Ingredion's Return on Sales [ROS] came in at 11.29%, down 1.90 percentage points year-over-year; for FY2025, it was 14.07%, up 2.19 percentage points from FY2024.
- Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +4.35 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 11.88% in FY2024 (+0.16 pp), 11.73% in FY2023 (+2.14 pp), 9.59% in FY2022 (+5.09 pp) and 4.50% in FY2021 (-5.22 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 4.90% in Q4 2021 and a high of 15.22% in Q1 2025.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of -0.46 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2022 (a gain of 21.63 percentage points); the low point was Q4 2021 (a drop of 5.33 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 10.16% (Q2 2026), 11.33% (Q1 2026) and 12.52% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 4.19% |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 2.61% |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 3.05% |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 2.27% |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 18.61% |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 3.70% |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 4.12% |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 11.22% |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | - |
| 10 | Seaboard | 3.59 Bn | -1.46 Bn | 132.00 Mn | 0.47% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.22% |
| Jun 30, 2026 | 10.16% |
| Mar 31, 2026 | 11.33% |
| Dec 31, 2025 | 12.52% |
| Sep 30, 2025 | 13.71% |
| Jun 30, 2025 | 14.78% |
| Mar 31, 2025 | 15.22% |
| Dec 31, 2024 | 9.00% |
| Sep 30, 2024 | 14.33% |
| Jun 30, 2024 | 12.78% |
| Mar 31, 2024 | 11.32% |
| Dec 31, 2023 | 10.52% |
| Sep 30, 2023 | 10.48% |
| Jun 30, 2023 | 12.13% |
| Mar 31, 2023 | 13.62% |
| Dec 31, 2022 | 7.90% |
| Sep 30, 2022 | 9.00% |
| Jun 30, 2022 | 10.42% |
| Mar 31, 2022 | 11.10% |
| Dec 31, 2021 | 4.90% |
Ingredion Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=INGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "INGR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=INGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();