Nomad Foods (NOMD) Total Non-Current Liabilities (2014 - 2026)
Nomad Foods (NOMD) reported Total Non-Current Liabilities of $1.51 million for Q2 2026, down 48.7% from $2.94 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Nomad Foods (NOMD) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Nomad Foods posted Total Non-Current Liabilities of $1.63 million, down 44.2% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -25.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.92 million in FY2024 (+93.0%), $1.51 million in FY2023 (+14.2%), $1.33 million in FY2022 (-60.0%) and $3.32 million in FY2021 (-54.4%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with growth averaging 110.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2024 (growth of 841.6%); the low point was Q3 2023 (a decline of 87.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.52 million (Q1 2026), $1.63 million (Q4 2025) and $3.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Nomad Foods | 1.50 Bn | 221.10 Mn | 243.17 Mn | 1.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 Mn |
| Mar 31, 2026 | 1.52 Mn |
| Dec 31, 2025 | 1.63 Mn |
| Sep 30, 2025 | 3.27 Mn |
| Jun 30, 2025 | 2.94 Mn |
| Mar 31, 2025 | 2.73 Mn |
| Dec 31, 2024 | 2.89 Mn |
| Sep 30, 2024 | 3.08 Mn |
| Jun 30, 2024 | 3.02 Mn |
| Mar 31, 2024 | 1.52 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Sep 30, 2023 | 326,577.14 |
| Mar 31, 2023 | 1.72 Mn |
| Dec 31, 2022 | 1.33 Mn |
| Sep 30, 2022 | 2.52 Mn |
| Jun 30, 2022 | 3.52 Mn |
| Mar 31, 2022 | 3.25 Mn |
| Dec 31, 2021 | 3.32 Mn |
| Sep 30, 2021 | 3.42 Mn |
| Jun 30, 2021 | 3.49 Mn |
API Access
Nomad Foods Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();