Nomad Foods (NOMD) Revenue (2016 - 2026)
Nomad Foods (NOMD) recorded Revenue of $841.2 million in Q2 2026, down 0.5% from $845.46 million a year earlier but up 0.5% from the prior quarter.
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Analysis
Nomad Foods (NOMD) Revenue (2016 - 2026) Analysis & Trends
On a TTM basis, Nomad Foods' Revenue came in at $3.46 billion as of Jun 30, 2026, up 3.6% year-over-year; for FY2025, it came in at $3.53 billion, up 5.2% from FY2024.
- Annual Revenue has increased for four straight years, with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $3.36 billion in FY2024 (+1.9%), $3.29 billion in FY2023 (+9.8%), $3 billion in FY2022 (+0.6%) and $2.98 billion in FY2021 (-0.6%).
- Quarterly Revenue has ranged from $706.86 million in Q3 2021 to $899.92 million in Q4 2025 over the past five years.
- On a year-over-year basis, Revenue rose in six of the last eight quarters, with growth averaging 2.2%.
- Peak year-over-year performance for Revenue in the last five years was growth of 9.1% in Q2 2023, against a decline of 6.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $837.32 million (Q1 2026), $899.92 million (Q4 2025) and $879.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 4.39 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 2.22 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 2.02 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Nomad Foods | 1.52 Bn | 241.04 Mn | 243.17 Mn | 841.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 841.20 Mn |
| Mar 31, 2026 | 837.32 Mn |
| Dec 31, 2025 | 899.92 Mn |
| Sep 30, 2025 | 879.60 Mn |
| Jun 30, 2025 | 845.46 Mn |
| Mar 31, 2025 | 799.54 Mn |
| Dec 31, 2024 | 847.82 Mn |
| Sep 30, 2024 | 845.19 Mn |
| Jun 30, 2024 | 811.00 Mn |
| Mar 31, 2024 | 851.38 Mn |
| Dec 31, 2023 | 818.58 Mn |
| Sep 30, 2023 | 831.14 Mn |
| Jun 30, 2023 | 811.36 Mn |
| Mar 31, 2023 | 831.95 Mn |
| Dec 31, 2022 | 765.39 Mn |
| Sep 30, 2022 | 765.89 Mn |
| Jun 30, 2022 | 743.74 Mn |
| Mar 31, 2022 | 822.56 Mn |
| Dec 31, 2021 | 805.36 Mn |
| Sep 30, 2021 | 706.86 Mn |
API Access
Nomad Foods Revenue 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=revenue&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();