Utz Brands (UTZ) Shares Outstanding (Diluted) (2021 - 2026)
Utz Brands (UTZ) posted Shares Outstanding (Diluted) of 88.51 million for Q2 2026, up 0.9% from 87.68 million a year earlier and up 0.2% from the prior quarter.
Utz Brands (UTZ) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Utz Brands' Shares Outstanding (Diluted) came in at 87.77 million, up 2.7% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three consecutive years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Utz Brands' Shares Outstanding (Diluted) was 85.43 million in FY2024 (+5.4%), 81.08 million in FY2023 (+1.2%), 80.09 million in FY2022 and 61.09 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last seven quarters, with growth averaging 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2025, with growth of 7.6%; the weakest was Q3 2024, with a decline of 1.2%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 88.35 million (Q1 2026), 87.77 million (Q4 2025) and 86.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn | 1.29 Bn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | 257.36 Mn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn | 269.40 Mn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Utz Brands | 1.27 Bn | 954.86 Mn | 96.20 Mn | 88.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 88.51 Mn |
| Mar 29, 2026 | 88.35 Mn |
| Dec 28, 2025 | 87.77 Mn |
| Sep 28, 2025 | 86.96 Mn |
| Jun 29, 2025 | 87.68 Mn |
| Mar 30, 2025 | 87.54 Mn |
| Dec 29, 2024 | 85.43 Mn |
| Sep 29, 2024 | 82.45 Mn |
| Jun 30, 2024 | 84.95 Mn |
| Mar 31, 2024 | 81.39 Mn |
| Dec 31, 2023 | 81.08 Mn |
| Oct 1, 2023 | 83.44 Mn |
| Jul 2, 2023 | 81.06 Mn |
| Apr 2, 2023 | 80.98 Mn |
| Jan 1, 2023 | 80.09 Mn |
| Oct 2, 2022 | 80.81 Mn |
| Jul 3, 2022 | 81.51 Mn |
| Apr 3, 2022 | 78.57 Mn |
| Jan 2, 2022 | 81.09 Mn |
| Oct 3, 2021 | 80.91 Mn |
Utz Brands 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=UTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "UTZ", "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=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();