Nomad Foods (NOMD) Shares Outstanding (Diluted) (2015 - 2026)
Nomad Foods (NOMD) reported Weighted Average Shares Outstanding (Diluted) of 162.22 million for Q3 2026, unchanged from 162.22 million a year earlier and unchanged from the prior quarter.
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Analysis
Nomad Foods (NOMD) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
Dating back to Q4 2015, Nomad Foods' Weighted Average Shares Outstanding (Diluted) record includes 43 quarters.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 162.22 million in FY2024 (-5.2%), 171.2 million in FY2023 (-1.8%), 174.28 million in FY2022 (-2.1%) and 178.07 million in FY2021 (-10.0%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 162.22 million in Q4 2024 and a high of 178.07 million in Q3 2022.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 0.0% (Q3 2026) to 10.0% (Q4 2021).
- Per Business Quant data, the three quarters before Q3 2026 came in at 162.22 million (Q2 2026), 162.22 million (Q1 2026) and 162.22 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 1.28 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 256.31 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.19 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 269.40 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Nomad Foods | 1.68 Bn | 347.66 Mn | 238.48 Mn | 162.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 162.22 Mn |
| Jun 30, 2026 | 162.22 Mn |
| Mar 31, 2026 | 162.22 Mn |
| Dec 31, 2025 | 162.22 Mn |
| Sep 30, 2025 | 162.22 Mn |
| Jun 30, 2025 | 162.22 Mn |
| Mar 31, 2025 | 162.22 Mn |
| Dec 31, 2024 | 162.22 Mn |
| Sep 30, 2024 | 171.20 Mn |
| Jun 30, 2024 | 171.20 Mn |
| Mar 31, 2024 | 171.20 Mn |
| Dec 31, 2023 | 171.20 Mn |
| Sep 30, 2023 | 174.28 Mn |
| Jun 30, 2023 | 174.28 Mn |
| Mar 31, 2023 | 174.28 Mn |
| Dec 31, 2022 | 174.28 Mn |
| Sep 30, 2022 | 178.07 Mn |
| Jun 30, 2022 | 178.07 Mn |
| Mar 31, 2022 | 178.07 Mn |
| Dec 31, 2021 | 178.07 Mn |
API Access
Nomad Foods Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NOMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NOMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();