Nomad Foods (NOMD) Accounts Payables (2014 - 2026)
Nomad Foods' Accounts Payables came in at $978.48 million for Q2 2026, down 0.7% from $985.37 million a year earlier but up 2.2% from the prior quarter.
Analysis
Nomad Foods (NOMD) Accounts Payables (2014 - 2026) Analysis & Trends
At the end of FY2025, Nomad Foods' Accounts Payables was $925.3 million, up 3.1% from FY2024.
- Accounts Payables has increased in each of the last three years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $897.37 million in FY2024 (+7.8%), $832.71 million in FY2023 (+17.4%), $709.48 million in FY2022 (-10.4%) and $791.63 million in FY2021 (+2.6%).
- The five-year range for quarterly Accounts Payables is $673.02 million (Q3 2022) to $987.5 million (Q3 2025).
- Year-over-year, Accounts Payables increased in seven of the last eight quarters, with growth averaging 9.2%.
- The fastest year-over-year change in Accounts Payables over five years came in Q2 2025 (growth of 25.4%), and the weakest in Q4 2022 (a decline of 10.4%).
- Business Quant data shows NOMD's Accounts Payables at $957.08 million (Q1 2026), $925.3 million (Q4 2025) and $987.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 22.45 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 9.41 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 1.40 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 4.48 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 3.72 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 1.21 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 1.52 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 678.00 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 1.17 Bn |
| 10 | Nomad Foods | 1.47 Bn | 195.46 Mn | 243.17 Mn | 978.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 978.48 Mn |
| Mar 31, 2026 | 957.08 Mn |
| Dec 31, 2025 | 925.30 Mn |
| Sep 30, 2025 | 987.50 Mn |
| Jun 30, 2025 | 985.37 Mn |
| Mar 31, 2025 | 901.04 Mn |
| Dec 31, 2024 | 885.97 Mn |
| Sep 30, 2024 | 815.76 Mn |
| Jun 30, 2024 | 786.02 Mn |
| Mar 31, 2024 | 880.28 Mn |
| Dec 31, 2023 | 828.26 Mn |
| Sep 30, 2023 | 757.66 Mn |
| Jun 30, 2023 | 775.97 Mn |
| Mar 31, 2023 | 779.25 Mn |
| Dec 31, 2022 | 709.48 Mn |
| Sep 30, 2022 | 673.02 Mn |
| Jun 30, 2022 | 780.13 Mn |
| Mar 31, 2022 | 806.85 Mn |
| Dec 31, 2021 | 791.63 Mn |
| Sep 30, 2021 | 717.48 Mn |
API Access
Nomad Foods Accounts Payables 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=accounts-payables&ticker=NOMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();