Nomad Foods (NOMD) Non Operating Interest Expenses (2015 - 2026)
Nomad Foods (NOMD) posted Non Operating Interest Expenses of -$47.97 million for Q3 2026, compared with $34.84 million a year earlier.
Nomad Foods (NOMD) Non Operating Interest Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Non Operating Interest Expenses at Nomad Foods was $144.82 million, up 0.7% year-over-year; for FY2025, it was $221.78 million, up 47.2% from FY2024.
- Annual Non Operating Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- In prior years, Nomad Foods' Non Operating Interest Expenses was $150.66 million in FY2024 (+27.1%), $118.56 million in FY2023 (+69.2%), $70.09 million in FY2022 (-44.2%) and $125.56 million in FY2021 (+60.8%).
- The Q3 2026 figure stands as the lowest quarterly Non Operating Interest Expenses since Q2 2016.
- On a year-over-year basis, Non Operating Interest Expenses increased in four of the last seven quarters, with growth averaging 38.3%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2025, with growth of 230.6%; the weakest was Q1 2022, with a decline of 64.2%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $36.73 million (Q2 2026), $33.83 million (Q1 2026) and $122.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | - |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | - |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 210.00 Mn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 142.20 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 68.40 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | - |
| 10 | Nomad Foods | 1.68 Bn | 347.66 Mn | 238.48 Mn | 47.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 47.97 Mn |
| Jun 30, 2026 | 36.73 Mn |
| Mar 31, 2026 | 33.83 Mn |
| Dec 31, 2025 | 122.22 Mn |
| Sep 30, 2025 | 34.84 Mn |
| Jun 30, 2025 | 34.52 Mn |
| Mar 31, 2025 | 37.45 Mn |
| Dec 31, 2024 | 36.97 Mn |
| Sep 30, 2024 | 40.85 Mn |
| Jun 30, 2024 | 33.81 Mn |
| Mar 31, 2024 | 39.11 Mn |
| Dec 31, 2023 | 23.46 Mn |
| Sep 30, 2023 | 28.74 Mn |
| Jun 30, 2023 | 40.51 Mn |
| Mar 31, 2023 | 32.31 Mn |
| Dec 31, 2022 | 19.28 Mn |
| Sep 30, 2022 | 16.64 Mn |
| Jun 30, 2022 | 20.06 Mn |
| Mar 31, 2022 | 17.40 Mn |
| Dec 31, 2021 | 17.96 Mn |
Nomad Foods Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=NOMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();