Nomad Foods (NOMD) Cash & Equivalents (2014 - 2026)
Nomad Foods (NOMD) reported Cash & Equivalents of $312.55 million for Q3 2026, up 37.6% from $227.12 million a year earlier and up 0.1% 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 $381.55 million, down 9.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $419.68 million in FY2024 (-5.1%), $442.4 million in FY2023 (+13.1%), $391.04 million in FY2022 (+35.8%) and $287.88 million in FY2021 (-38.8%).
- Five-year quarterly Cash & Equivalents spans a low of $190.4 million in Q3 2022 and a high of $442.4 million in Q4 2023.
- Year over year, Cash & Equivalents gained in 1 of the last eight quarters, with an average decline of 6.4%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2023 (growth of 69.7%); the low point was Q2 2022 (a decline of 74.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $312.28 million (Q2 2026), $323.75 million (Q1 2026) and $381.55 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 5.40 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 1.63 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 676.69 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.89 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Nomad Foods | 1.68 Bn | 347.66 Mn | 238.48 Mn | 312.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 312.55 Mn |
| Jun 30, 2026 | 312.28 Mn |
| Mar 31, 2026 | 323.75 Mn |
| Dec 31, 2025 | 381.55 Mn |
| Sep 30, 2025 | 227.12 Mn |
| Jun 30, 2025 | 312.65 Mn |
| Mar 31, 2025 | 356.97 Mn |
| Dec 31, 2024 | 419.68 Mn |
| Sep 30, 2024 | 373.52 Mn |
| Jun 30, 2024 | 350.92 Mn |
| Mar 31, 2024 | 421.74 Mn |
| Dec 31, 2023 | 442.40 Mn |
| Sep 30, 2023 | 323.11 Mn |
| Jun 30, 2023 | 385.49 Mn |
| Mar 31, 2023 | 404.45 Mn |
| Dec 31, 2022 | 391.04 Mn |
| Sep 30, 2022 | 190.40 Mn |
| Jun 30, 2022 | 230.87 Mn |
| Mar 31, 2022 | 285.52 Mn |
| Dec 31, 2021 | 287.88 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();