Nomad Foods (NOMD) Operating Income (2014 - 2026)
Nomad Foods (NOMD) reported Operating Income of $113.68 million for Q2 2026, down 3.8% from $118.18 million a year earlier but up 42.2% from the prior quarter.
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Analysis
Nomad Foods (NOMD) Operating Income (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nomad Foods' Operating Income came in at $412.84 million, down 12.6% year-over-year; for FY2025, it came in at $378.78 million, down 9.6% from FY2024.
- Operating Income has a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- By year, Operating Income came in at $418.86 million in FY2024 (+13.8%), $368.22 million in FY2023 (-3.9%), $383 million in FY2022 (-2.3%) and $392.04 million in FY2021 (-8.5%).
- Five-year quarterly Operating Income spans a low of $66.24 million in Q4 2021 and a high of $155.07 million in Q3 2024.
- Year over year, Operating Income has now declined in each of the last six quarters, with an average decline of 0.7% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was Q4 2024 (growth of 36.2%); the low point was Q4 2021 (a decline of 44.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $79.96 million (Q1 2026), $82.07 million (Q4 2025) and $137.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 1.95 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 642.64 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -6.43 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 633.60 Mn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 511.60 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 217.00 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 110.90 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 92.00 Mn |
| 10 | Nomad Foods | 1.54 Bn | 265.25 Mn | 243.17 Mn | 113.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.68 Mn |
| Mar 31, 2026 | 79.96 Mn |
| Dec 31, 2025 | 82.07 Mn |
| Sep 30, 2025 | 137.13 Mn |
| Jun 30, 2025 | 118.18 Mn |
| Mar 31, 2025 | 101.09 Mn |
| Dec 31, 2024 | 97.78 Mn |
| Sep 30, 2024 | 155.07 Mn |
| Jun 30, 2024 | 125.13 Mn |
| Mar 31, 2024 | 107.77 Mn |
| Dec 31, 2023 | 71.77 Mn |
| Sep 30, 2023 | 126.82 Mn |
| Jun 30, 2023 | 118.80 Mn |
| Mar 31, 2023 | 133.09 Mn |
| Dec 31, 2022 | 66.93 Mn |
| Sep 30, 2022 | 131.68 Mn |
| Jun 30, 2022 | 121.00 Mn |
| Mar 31, 2022 | 123.79 Mn |
| Dec 31, 2021 | 66.24 Mn |
| Sep 30, 2021 | 113.33 Mn |
API Access
Nomad Foods Operating Income 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=operating-income&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();