Nomad Foods (NOMD) Long-Term Debt Issuances (2017 - 2022)
Nomad Foods' Long-Term Debt Issuances came in at $224.89 million for FY2025.
Analysis
Nomad Foods (NOMD) Long-Term Debt Issuances (2017 - 2022) Analysis & Trends
Going back to FY2013, Nomad Foods' Long-Term Debt Issuances data covers 10 years.
- Long-Term Debt Issuances carries a four-year compound annual growth rate of -29.6% (FY2021 to FY2025).
- The FY2025 figure represents the highest annual Long-Term Debt Issuances since FY2022.
- Per Business Quant, earlier years put Long-Term Debt Issuances at $6.49 million in FY2023 (-99.2%), $815.48 million in FY2022 (-10.9%) and $915.18 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.51 Bn | 96.97 Bn | - | - |
| 2 | Mondelez International | 82.69 Bn | 75.96 Bn | 3.99 Bn | - |
| 3 | Hershey | 35.42 Bn | 31.67 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 29.37 Bn | 15.79 Bn | 2.03 Bn | 1.15 Bn |
| 5 | General Mills | 18.58 Bn | 16.22 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.06 Bn | 13.84 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.95 Bn | 12.01 Bn | 794.90 Mn | 600,000.00 |
| 8 | Hormel Foods | 11.72 Bn | 8.39 Bn | 471.52 Mn | - |
| 9 | Chewy | 9.05 Bn | 6.34 Bn | 1.01 Bn | - |
| 10 | Nomad Foods | 1.83 Bn | 581.12 Mn | 243.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 815.48 Mn |
| Sep 30, 2021 | 58.96 Mn |
| Dec 31, 2019 | 332,066.30 |
| Sep 30, 2019 | 556,365.02 |
| Jun 30, 2019 | 1.35 Mn |
| Dec 31, 2018 | 913,117.14 |
| Jun 30, 2018 | 303.61 Mn |
| Mar 31, 2018 | 123.34 Mn |
| Jun 30, 2017 | 1.62 Bn |
API Access
Nomad Foods Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=NOMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();