Nomad Foods (NOMD) Receivables (2014 - 2026)
Nomad Foods (NOMD) recorded Receivables of $495.4 million in Q2 2026, up 3.4% from $479.16 million a year earlier and up 6.3% from the prior quarter.
Powered by 
Analysis
Nomad Foods (NOMD) Receivables (2014 - 2026) Analysis & Trends
At the end of FY2025, Nomad Foods reported Receivables of $416.49 million, up 12.0% from FY2024.
- Annual Receivables has increased for three straight years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $372 million in FY2024 (+26.9%), $293.15 million in FY2023 (+5.8%), $277.1 million in FY2022 (-4.3%) and $289.42 million in FY2021 (+20.5%).
- The Q2 2026 figure is the highest quarterly Receivables in data going back to Q4 2014.
- On a year-over-year basis, Receivables has increased for 11 consecutive quarters, with growth averaging 17.1% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 76.4% in Q2 2022, against a decline of 9.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $466.07 million (Q1 2026), $408.35 million (Q4 2025) and $489.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 11.86 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 1.78 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 709.40 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 615.70 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 232.10 Mn |
| 10 | Nomad Foods | 1.52 Bn | 241.04 Mn | 243.17 Mn | 495.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 495.40 Mn |
| Mar 31, 2026 | 466.07 Mn |
| Dec 31, 2025 | 408.35 Mn |
| Sep 30, 2025 | 489.83 Mn |
| Jun 30, 2025 | 479.16 Mn |
| Mar 31, 2025 | 407.71 Mn |
| Dec 31, 2024 | 367.28 Mn |
| Sep 30, 2024 | 382.18 Mn |
| Jun 30, 2024 | 372.17 Mn |
| Mar 31, 2024 | 374.03 Mn |
| Dec 31, 2023 | 291.58 Mn |
| Sep 30, 2023 | 328.97 Mn |
| Jun 30, 2023 | 336.48 Mn |
| Mar 31, 2023 | 344.33 Mn |
| Dec 31, 2022 | 277.10 Mn |
| Sep 30, 2022 | 347.05 Mn |
| Jun 30, 2022 | 373.58 Mn |
| Mar 31, 2022 | 326.49 Mn |
| Dec 31, 2021 | 289.42 Mn |
| Sep 30, 2021 | 297.30 Mn |
API Access
Nomad Foods Receivables 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=receivables&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();