Nomad Foods (NOMD) Income from Continuing Operations (2014 - 2026)
Nomad Foods (NOMD) reported Income from Continuing Operations of $95.66 million for Q2 2026, down 5.8% from $101.54 million a year earlier but up 70.6% from the prior quarter.
Nomad Foods (NOMD) Income from Continuing Operations (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nomad Foods' Income from Continuing Operations came in at $206.4 million, down 49.3% year-over-year; for FY2025, it came in at $179.15 million, down 49.6% from FY2024.
- Income from Continuing Operations has a five-year compound annual growth rate of -16.3% (FY2020 to FY2025).
- By year, Income from Continuing Operations came in at $355.76 million in FY2024 (+4.6%), $340.2 million in FY2023 (-15.0%), $400.14 million in FY2022 (+19.6%) and $334.5 million in FY2021 (-23.3%).
- Five-year quarterly Income from Continuing Operations spans a low of -$69.96 million in Q4 2025 and a high of $145.51 million in Q3 2024.
- Year over year, Income from Continuing Operations gained in two of the last seven quarters, with an average decline of 8.4%.
- The high point for year-over-year Income from Continuing Operations in five years was Q4 2023 (growth of 28.6%); the low point was Q4 2021 (a decline of 47.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $56.08 million (Q1 2026), -$69.96 million (Q4 2025) and $124.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.54 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 379.20 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 324.30 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 156.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 59.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Nomad Foods | 1.47 Bn | 195.46 Mn | 243.17 Mn | 95.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.66 Mn |
| Mar 31, 2026 | 56.08 Mn |
| Dec 31, 2025 | -69.96 Mn |
| Sep 30, 2025 | 124.62 Mn |
| Jun 30, 2025 | 101.54 Mn |
| Mar 31, 2025 | 83.73 Mn |
| Dec 31, 2024 | 76.08 Mn |
| Sep 30, 2024 | 145.51 Mn |
| Jun 30, 2024 | 114.58 Mn |
| Mar 31, 2024 | 97.99 Mn |
| Dec 31, 2023 | 72.84 Mn |
| Sep 30, 2023 | 125.41 Mn |
| Jun 30, 2023 | 111.83 Mn |
| Mar 31, 2023 | 130.09 Mn |
| Dec 31, 2022 | 56.62 Mn |
| Sep 30, 2022 | 139.75 Mn |
| Jun 30, 2022 | 128.05 Mn |
| Mar 31, 2022 | 128.28 Mn |
| Dec 31, 2021 | 63.83 Mn |
| Sep 30, 2021 | 113.09 Mn |
Nomad Foods Income from Continuing Operations 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=income-from-continuing-operations&ticker=NOMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();