Nomad Foods (NOMD) EBITDA (2016 - 2026)
Nomad Foods' EBITDA was $162.56 million in Q3 2026, up 12.9% from $144.03 million a year earlier and up 22.1% from the prior quarter.
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Analysis
Nomad Foods (NOMD) EBITDA (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nomad Foods' EBITDA was $506.88 million through Sep 30, 2026, up 1.2% year-over-year; for FY2025, it was $491.24 million, down 6.2% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, EBITDA was $523.74 million in FY2024 (+11.2%), $470.98 million in FY2023 (-3.7%), $489.04 million in FY2022 (-0.3%) and $490.28 million in FY2021 (+0.6%).
- The Q3 2026 figure marks the highest quarterly EBITDA since Q1 2021.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with growth averaging 1.4%.
- The best year-over-year quarter for EBITDA over five years was Q4 2024 (growth of 25.1%); the worst was Q1 2022 (a decline of 37.2%).
- Per Business Quant data, NOMD's EBITDA in the three quarters before Q3 2026 was $133.09 million (Q2 2026), $94.83 million (Q1 2026) and $116.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 2.11 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 953.93 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.14 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Nomad Foods | 1.68 Bn | 347.66 Mn | 238.48 Mn | 161.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 161.63 Mn |
| Jun 30, 2026 | 133.09 Mn |
| Mar 31, 2026 | 94.83 Mn |
| Dec 31, 2025 | 116.40 Mn |
| Sep 30, 2025 | 144.03 Mn |
| Jun 30, 2025 | 128.82 Mn |
| Mar 31, 2025 | 102.87 Mn |
| Dec 31, 2024 | 125.03 Mn |
| Sep 30, 2024 | 161.99 Mn |
| Jun 30, 2024 | 133.86 Mn |
| Mar 31, 2024 | 103.31 Mn |
| Dec 31, 2023 | 99.95 Mn |
| Sep 30, 2023 | 132.37 Mn |
| Jun 30, 2023 | 129.58 Mn |
| Mar 31, 2023 | 109.37 Mn |
| Dec 31, 2022 | 90.19 Mn |
| Sep 30, 2022 | 132.49 Mn |
| Jun 30, 2022 | 144.48 Mn |
| Mar 31, 2022 | 122.11 Mn |
| Dec 31, 2021 | 90.14 Mn |
API Access
Nomad Foods EBITDA 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=ebitda&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();