Nomad Foods (NOMD) Net Long-Term Debt Issued (Repaid) (2017 - 2024)
Nomad Foods' Net Long-Term Debt Issued (Repaid) was $153.77 million in FY2025, compared with -$7.04 million in FY2024.
Analysis
Nomad Foods (NOMD) Net Long-Term Debt Issued (Repaid) (2017 - 2024) Analysis & Trends
From FY2013 onward, Nomad Foods has reported Net Long-Term Debt Issued (Repaid) for 13 years.
- The FY2025 figure marks the highest annual Net Long-Term Debt Issued (Repaid) since FY2021.
- Per Business Quant data, Net Long-Term Debt Issued (Repaid) in earlier years was -$7.04 million in FY2024, -$7.14 million in FY2023, -$123.21 million in FY2022 and $463.06 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | -967.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | -501.66 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | -1.00 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | -1.70 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | -1.77 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -220.00 Mn |
| 10 | Nomad Foods | 1.68 Bn | 347.66 Mn | 238.48 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -6.95 Mn |
| Dec 31, 2023 | -7.10 Mn |
| Sep 30, 2023 | -6.53 Mn |
| Dec 31, 2022 | -110.39 Mn |
| Sep 30, 2021 | 58.96 Mn |
| Jun 30, 2021 | -492.19 Mn |
| Jun 30, 2020 | -9.58 Mn |
| Mar 31, 2020 | -3.31 Mn |
| Dec 31, 2019 | 110,688.77 |
| Sep 30, 2019 | 445,092.01 |
| Jun 30, 2019 | -21.91 Mn |
| Mar 31, 2019 | -1.36 Mn |
| Dec 31, 2018 | 913,117.14 |
| Jun 30, 2018 | 296.57 Mn |
| Mar 31, 2018 | 123.34 Mn |
| Dec 31, 2017 | 1.88 Mn |
| Jun 30, 2017 | 1.10 Mn |
| Mar 31, 2017 | -1.70 Mn |
API Access
Nomad Foods Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=NOMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();