Nomad Foods (NOMD) Cost of Revenue (2015 - 2026)
Nomad Foods' Cost of Revenue came in at $647.34 million for Q3 2026, up 1.6% from $637.14 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Nomad Foods (NOMD) Cost of Revenue (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Nomad Foods reported Cost of Revenue of $2.54 billion, up 4.3% year-over-year; for FY2025, it came in at $2.5 billion, up 5.7% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $2.36 billion in FY2024 (-0.1%), $2.36 billion in FY2023 (+5.6%), $2.24 billion in FY2022 (+1.6%) and $2.2 billion in FY2021 (+10.1%).
- The five-year range for quarterly Cost of Revenue is $533.74 million (Q2 2022) to $669.79 million (Q4 2025).
- Year-over-year, Cost of Revenue increased in six of the last eight quarters, with growth averaging 4.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2021 (growth of 11.5%), and the weakest in Q1 2025 (a decline of 7.3%).
- Business Quant data shows NOMD's Cost of Revenue at $598.04 million (Q2 2026), $622.37 million (Q1 2026) and $669.79 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 6.04 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 1.76 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 4.13 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Nomad Foods | 1.68 Bn | 347.66 Mn | 238.48 Mn | 647.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 647.34 Mn |
| Jun 30, 2026 | 598.04 Mn |
| Mar 31, 2026 | 622.37 Mn |
| Dec 31, 2025 | 669.79 Mn |
| Sep 30, 2025 | 637.14 Mn |
| Jun 30, 2025 | 611.94 Mn |
| Mar 31, 2025 | 576.96 Mn |
| Dec 31, 2024 | 606.43 Mn |
| Sep 30, 2024 | 572.61 Mn |
| Jun 30, 2024 | 560.30 Mn |
| Mar 31, 2024 | 622.27 Mn |
| Dec 31, 2023 | 595.10 Mn |
| Sep 30, 2023 | 595.24 Mn |
| Jun 30, 2023 | 582.57 Mn |
| Mar 31, 2023 | 591.30 Mn |
| Dec 31, 2022 | 568.79 Mn |
| Sep 30, 2022 | 542.96 Mn |
| Jun 30, 2022 | 533.74 Mn |
| Mar 31, 2022 | 592.82 Mn |
| Dec 31, 2021 | 599.10 Mn |
API Access
Nomad Foods Cost of 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=cost-of-revenue&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();