United Natural Foods (UNFI) Shares Outstanding (Diluted) (2009 - 2026)
United Natural Foods' Shares Outstanding (Diluted) came in at 62.8 million for fiscal Q4 2026 (quarter ended Aug 1, 2026), up 4.3% from 60.2 million a year earlier and up 0.2% from the prior quarter.
United Natural Foods (UNFI) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Going back to fiscal Q1 2010, United Natural Foods' Shares Outstanding (Diluted) data covers 68 quarters.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 60.2 million in FY2025 (+1.5%), 59.3 million in FY2024 (-2.3%), 60.7 million in FY2023 (-0.5%) and 61 million in FY2022 (+1.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q1 2010.
- Year-over-year, Shares Outstanding (Diluted) has increased for eight consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q1 2022 (growth of 10.7%), and the weakest in fiscal Q1 2024 (a decline of 4.7%).
- Business Quant data shows UNFI's Shares Outstanding (Diluted) at 62.7 million (Q3 2026), 62.7 million (Q2 2026) and 60.7 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 7.98 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 444.43 Mn |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 480.61 Mn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 608.00 Mn |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 221.51 Mn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 37.14 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 190.90 Mn |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 221.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 524.62 Mn |
| 10 | United Natural Foods | 2.70 Bn | 2.53 Bn | 1.05 Bn | 62.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 62.80 Mn |
| May 2, 2026 | 62.70 Mn |
| Jan 31, 2026 | 62.70 Mn |
| Nov 1, 2025 | 60.70 Mn |
| Aug 2, 2025 | 60.20 Mn |
| May 3, 2025 | 60.50 Mn |
| Feb 1, 2025 | 60.20 Mn |
| Nov 2, 2024 | 59.60 Mn |
| Aug 3, 2024 | 59.30 Mn |
| Apr 27, 2024 | 59.40 Mn |
| Jan 27, 2024 | 59.40 Mn |
| Oct 28, 2023 | 58.70 Mn |
| Jul 29, 2023 | 60.70 Mn |
| Apr 29, 2023 | 60.40 Mn |
| Jan 28, 2023 | 61.00 Mn |
| Oct 29, 2022 | 61.60 Mn |
| Jul 30, 2022 | 61.00 Mn |
| Apr 30, 2022 | 60.90 Mn |
| Jan 29, 2022 | 61.00 Mn |
| Oct 30, 2021 | 61.10 Mn |
United Natural 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=UNFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "UNFI", "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=UNFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();