Nomad Foods (NOMD) Total Current Liabilities (2014 - 2026)
Nomad Foods' Total Current Liabilities came in at $1.26 billion for Q3 2026, down 3.5% from $1.31 billion a year earlier but up 2.1% from the prior quarter.
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Analysis
Nomad Foods (NOMD) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Nomad Foods' Total Current Liabilities was $1.25 billion, up 7.3% from FY2024.
- Total Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $1.17 billion in FY2024 (+2.7%), $1.14 billion in FY2023 (+13.4%), $1 billion in FY2022 (-8.3%) and $1.09 billion in FY2021 (-3.0%).
- The five-year range for quarterly Total Current Liabilities is $939.12 million (Q3 2022) to $1.36 billion (Q2 2025).
- Year-over-year, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 6.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2025 (growth of 28.1%), and the weakest in Q3 2022 (a decline of 11.0%).
- Business Quant data shows NOMD's Total Current Liabilities at $1.24 billion (Q2 2026), $1.24 billion (Q1 2026) and $1.25 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 33.00 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 22.40 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 3.12 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 8.49 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 6.94 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 2.29 Bn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 4.42 Bn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Nomad Foods | 1.68 Bn | 347.66 Mn | 238.48 Mn | 1.26 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.26 Bn |
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.24 Bn |
| Dec 31, 2025 | 1.25 Bn |
| Sep 30, 2025 | 1.31 Bn |
| Jun 30, 2025 | 1.36 Bn |
| Mar 31, 2025 | 1.24 Bn |
| Dec 31, 2024 | 1.17 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 984.63 Mn |
| Jun 30, 2023 | 1.04 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 939.12 Mn |
| Jun 30, 2022 | 1.06 Bn |
| Mar 31, 2022 | 1.12 Bn |
| Dec 31, 2021 | 1.09 Bn |
API Access
Nomad Foods Total 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-current-liabilities&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();