Nomad Foods (NOMD) Property, Plant & Equipment (Net) (2014 - 2026)
Nomad Foods' Property, Plant & Equipment (Net) was $686.57 million in Q3 2026, up 0.5% from $683.36 million a year earlier but down 0.2% from the prior quarter.
Nomad Foods (NOMD) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Nomad Foods came in at $699.2 million, up 13.7% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $615.11 million in FY2024 (-1.4%), $623.91 million in FY2023 (+7.8%), $578.77 million in FY2022 (-7.0%) and $622.2 million in FY2021 (+19.8%).
- Quarterly Property, Plant & Equipment (Net) has moved between $527.55 million (Q3 2022) and $699.2 million (Q4 2025) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for seven straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2022 (growth of 22.4%); the worst was Q3 2022 (a decline of 10.2%).
- Per Business Quant data, NOMD's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $687.84 million (Q2 2026), $678.43 million (Q1 2026) and $699.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 10.69 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 10.62 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 3.50 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 7.18 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Nomad Foods | 1.68 Bn | 347.66 Mn | 238.48 Mn | 686.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 686.57 Mn |
| Jun 30, 2026 | 687.84 Mn |
| Mar 31, 2026 | 678.43 Mn |
| Dec 31, 2025 | 699.20 Mn |
| Sep 30, 2025 | 683.36 Mn |
| Jun 30, 2025 | 686.76 Mn |
| Mar 31, 2025 | 632.66 Mn |
| Dec 31, 2024 | 615.11 Mn |
| Sep 30, 2024 | 636.12 Mn |
| Jun 30, 2024 | 602.35 Mn |
| Mar 31, 2024 | 608.16 Mn |
| Dec 31, 2023 | 623.91 Mn |
| Sep 30, 2023 | 583.26 Mn |
| Jun 30, 2023 | 601.22 Mn |
| Mar 31, 2023 | 603.35 Mn |
| Dec 31, 2022 | 578.77 Mn |
| Sep 30, 2022 | 527.55 Mn |
| Jun 30, 2022 | 565.68 Mn |
| Mar 31, 2022 | 606.09 Mn |
| Dec 31, 2021 | 622.20 Mn |
Nomad Foods Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NOMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();