Nomad Foods (NOMD) Return on Capital Employed [ROCE] (2016 - 2026)
Nomad Foods (NOMD) posted Return on Capital Employed [ROCE] of 6.70% for Q2 2026, down 1.64 percentage points from 8.34% a year earlier and down 0.11 percentage points from the prior quarter.
Nomad Foods (NOMD) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Nomad Foods' Return on Capital Employed [ROCE] came in at 6.39%, down 0.91 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -1.39 percentage points (FY2020 to FY2025).
- In prior years, Nomad Foods' Return on Capital Employed [ROCE] was 7.30% in FY2024 (+0.71 pp), 6.59% in FY2023 (-0.01 pp), 6.61% in FY2022 (-0.21 pp) and 6.82% in FY2021 (-0.97 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q1 2019.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last four quarters, with an average year-over-year change of -0.22 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2025, with a gain of 1.24 percentage points; the weakest was Q1 2026, with a drop of 1.75 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 6.81% (Q1 2026), 7.15% (Q4 2025) and 7.58% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 8.97% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 20.49% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -4.62% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.87% |
| 10 | Nomad Foods | 1.52 Bn | 241.04 Mn | 243.17 Mn | 6.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.70% |
| Mar 31, 2026 | 6.81% |
| Dec 31, 2025 | 7.15% |
| Sep 30, 2025 | 7.58% |
| Jun 30, 2025 | 8.34% |
| Mar 31, 2025 | 8.56% |
| Dec 31, 2024 | 8.38% |
| Sep 30, 2024 | 7.80% |
| Jun 30, 2024 | 7.32% |
| Mar 31, 2024 | 7.33% |
| Dec 31, 2023 | 7.78% |
| Sep 30, 2023 | 7.53% |
| Jun 30, 2023 | 7.66% |
| Mar 31, 2023 | 8.07% |
| Dec 31, 2022 | 8.02% |
| Sep 30, 2022 | 7.76% |
| Jun 30, 2022 | 7.29% |
| Mar 31, 2022 | 7.31% |
| Dec 31, 2021 | 7.55% |
| Sep 30, 2021 | 8.35% |
Nomad Foods Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=NOMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();