Nomad Foods (NOMD) Long-Term Debt Repayments (2017 - 2024)
Nomad Foods' Long-Term Debt Repayments was -$1.81 million in FY2017, compared with -$774,940 in FY2016.
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Analysis
Nomad Foods (NOMD) Long-Term Debt Repayments (2017 - 2024) Analysis & Trends
- Per Business Quant data, Long-Term Debt Repayments in earlier years was -$774,940 in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.11 Bn | 99.98 Bn | - | - |
| 2 | Mondelez International | 83.20 Bn | 76.52 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 35.53 Bn | 31.77 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 29.73 Bn | 16.26 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.80 Bn | 16.46 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.25 Bn | 14.03 Bn | 979.60 Mn | - |
| 7 | Mccormick | 13.11 Bn | 12.76 Bn | 794.90 Mn | 2.30 Mn |
| 8 | Hormel Foods | 11.76 Bn | 8.44 Bn | 471.52 Mn | 1.77 Mn |
| 9 | Chewy | 8.96 Bn | 6.25 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Nomad Foods | 1.74 Bn | 495.76 Mn | 243.17 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 | 925.87 Mn |
| Jun 30, 2021 | 492.19 Mn |
| Jun 30, 2020 | 9.58 Mn |
| Mar 31, 2020 | 3.31 Mn |
| Dec 31, 2019 | 221,377.53 |
| Sep 30, 2019 | 111,273.00 |
| Jun 30, 2019 | 23.26 Mn |
| Mar 31, 2019 | 1.36 Mn |
| Jun 30, 2018 | 7.04 Mn |
| Dec 31, 2017 | -1.88 Mn |
| Jun 30, 2017 | 1.62 Bn |
| Mar 31, 2017 | 1.70 Mn |
API Access
Nomad Foods Long-Term Debt Repayments 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-repayments&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();