Nomad Foods (NOMD) Return on Sales [ROS] (2016 - 2026)
Nomad Foods (NOMD) reported Return on Sales [ROS] of 13.51% for Q2 2026, down 0.46 percentage points from 13.98% a year earlier but up 3.96 percentage points from the prior quarter.
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Analysis
Nomad Foods (NOMD) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nomad Foods' Return on Sales [ROS] came in at 11.94%, down 2.20 percentage points year-over-year; for FY2025, it came in at 10.73%, down 1.75 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -3.55 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 12.48% in FY2024 (+1.30 pp), 11.18% in FY2023 (-1.59 pp), 12.77% in FY2022 (-0.38 pp) and 13.15% in FY2021 (-1.13 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 8.22% in Q4 2021 and a high of 18.35% in Q3 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last six quarters, with an average year-over-year change of -0.54 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 3.09 percentage points); the low point was Q4 2021 (a drop of 6.96 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 9.55% (Q1 2026), 9.12% (Q4 2025) and 15.59% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | Nomad Foods | 1.52 Bn | 241.04 Mn | 243.17 Mn | 13.51% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.51% |
| Mar 31, 2026 | 9.55% |
| Dec 31, 2025 | 9.12% |
| Sep 30, 2025 | 15.59% |
| Jun 30, 2025 | 13.98% |
| Mar 31, 2025 | 12.64% |
| Dec 31, 2024 | 11.53% |
| Sep 30, 2024 | 18.35% |
| Jun 30, 2024 | 15.43% |
| Mar 31, 2024 | 12.66% |
| Dec 31, 2023 | 8.77% |
| Sep 30, 2023 | 15.26% |
| Jun 30, 2023 | 14.64% |
| Mar 31, 2023 | 16.00% |
| Dec 31, 2022 | 8.74% |
| Sep 30, 2022 | 17.19% |
| Jun 30, 2022 | 16.27% |
| Mar 31, 2022 | 15.05% |
| Dec 31, 2021 | 8.22% |
| Sep 30, 2021 | 16.03% |
API Access
Nomad Foods 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=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NOMD", "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=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();