Mgp Ingredients (MGPI) Return on Sales [ROS] (2010 - 2026)
Mgp Ingredients (MGPI) reported Return on Sales [ROS] of 14.19% for Q2 2026, up 0.23 percentage points from 13.96% a year earlier and up 176.94 percentage points from the prior quarter.
Mgp Ingredients (MGPI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mgp Ingredients' Return on Sales [ROS] came in at -53.95%, down 57.51 percentage points year-over-year; for FY2025, it came in at -17.64%, down 28.22 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -31.35 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 10.58% in FY2024 (-7.19 pp), 17.77% in FY2023 (-1.27 pp), 19.04% in FY2022 (-1.12 pp) and 20.16% in FY2021 (+6.45 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -162.74% in Q1 2026 and a high of 27.16% in Q4 2021.
- Year over year, Return on Sales [ROS] gained in two of the last eight quarters, with an average year-over-year change of -37.42 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2021 (a gain of 11.76 percentage points); the low point was Q1 2026 (a drop of 162.13 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -162.74% (Q1 2026), -97.75% (Q4 2025) and 16.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 34.92% |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | 13.96% |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 16.64% |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 27.38% |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 29.18% |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | 23.89% |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 8.59% |
| 10 | Mgp Ingredients | 273.86 Mn | 213.80 Mn | 46.47 Mn | 14.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.19% |
| Mar 31, 2026 | -162.74% |
| Dec 31, 2025 | -97.75% |
| Sep 30, 2025 | 16.05% |
| Jun 30, 2025 | 13.96% |
| Mar 31, 2025 | -0.61% |
| Dec 31, 2024 | -16.84% |
| Sep 30, 2024 | 20.17% |
| Jun 30, 2024 | 22.74% |
| Mar 31, 2024 | 16.95% |
| Dec 31, 2023 | 20.04% |
| Sep 30, 2023 | 9.37% |
| Jun 30, 2023 | 21.12% |
| Mar 31, 2023 | 20.68% |
| Dec 31, 2022 | 15.56% |
| Sep 30, 2022 | 16.84% |
| Jun 30, 2022 | 18.11% |
| Mar 31, 2022 | 25.65% |
| Dec 31, 2021 | 27.16% |
| Sep 30, 2021 | 18.62% |
Mgp Ingredients 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=MGPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MGPI", "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=MGPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();