Nomad Foods (NOMD) EBITDA (2016 - 2026)
Nomad Foods' EBITDA was $143.78 million in Q2 2026, down 2.8% from $147.95 million a year earlier but up 32.6% from the prior quarter.
Nomad Foods (NOMD) EBITDA (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nomad Foods' EBITDA was $540.33 million through Jun 30, 2026, down 7.1% year-over-year; for FY2025, it was $506.13 million, down 3.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $523.74 million in FY2024 (+11.2%), $470.98 million in FY2023 (-0.5%), $473.39 million in FY2022 (-0.1%) and $473.95 million in FY2021 (-6.9%).
- Quarterly EBITDA has moved between $90.14 million (Q4 2021) and $182.63 million (Q3 2024) over five years.
- Compared with a year earlier, EBITDA has declined for six straight quarters, with growth averaging 1.1% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2024 (growth of 25.1%); the worst was Q4 2021 (a decline of 34.8%).
- Per Business Quant data, NOMD's EBITDA in the three quarters before Q2 2026 was $108.41 million (Q1 2026), $116.4 million (Q4 2025) and $171.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Nomad Foods | 1.77 Bn | 527.18 Mn | 243.17 Mn | 133.09 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 115.22 Mn |
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_KEY
import 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();