Nomad Foods (NOMD) Cash & Equivalents (2014 - 2026)
Nomad Foods (NOMD) reported Cash & Equivalents of $317.79 million for Q2 2026, up 5.3% from $301.78 million a year earlier but down 3.9% from the prior quarter.
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Analysis
Nomad Foods (NOMD) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Nomad Foods posted Cash & Equivalents of $378.08 million, down 13.4% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $436.51 million in FY2024 (+1.0%), $432.36 million in FY2023 (+15.5%), $374.23 million in FY2022 (+28.7%) and $290.8 million in FY2021 (-36.2%).
- Five-year quarterly Cash & Equivalents spans a low of $195.3 million in Q3 2022 and a high of $430.96 million in Q4 2024.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with an average decline of 9.0%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2023 (growth of 70.5%); the low point was Q2 2022 (a decline of 74.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $330.74 million (Q1 2026), $378.08 million (Q4 2025) and $226.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Nomad Foods | 1.54 Bn | 265.25 Mn | 243.17 Mn | 317.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 317.79 Mn |
| Mar 31, 2026 | 330.74 Mn |
| Dec 31, 2025 | 378.08 Mn |
| Sep 30, 2025 | 226.33 Mn |
| Jun 30, 2025 | 301.78 Mn |
| Mar 31, 2025 | 346.91 Mn |
| Dec 31, 2024 | 430.96 Mn |
| Sep 30, 2024 | 367.24 Mn |
| Jun 30, 2024 | 352.90 Mn |
| Mar 31, 2024 | 424.44 Mn |
| Dec 31, 2023 | 430.05 Mn |
| Sep 30, 2023 | 333.00 Mn |
| Jun 30, 2023 | 386.24 Mn |
| Mar 31, 2023 | 398.10 Mn |
| Dec 31, 2022 | 374.23 Mn |
| Sep 30, 2022 | 195.30 Mn |
| Jun 30, 2022 | 235.82 Mn |
| Mar 31, 2022 | 287.09 Mn |
| Dec 31, 2021 | 290.80 Mn |
| Sep 30, 2021 | 249.54 Mn |
API Access
Nomad Foods Cash & Equivalents 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=cash-and-equivalents&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();