Performance Food (PFGC) Shares Outstanding (2014 - 2026)
Performance Food (PFGC) posted Shares Outstanding of 155.9 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 0.7% from 154.8 million a year earlier but down 0.1% from the prior quarter.
Performance Food (PFGC) Shares Outstanding (2014 - 2026) Analysis & Trends
Since fiscal Q1 2015, Performance Food has reported Shares Outstanding for 48 quarters.
- Annual Shares Outstanding has increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 3.4% (FY2021 to FY2026).
- In prior fiscal years, Performance Food's Shares Outstanding was 154.8 million in FY2025 (+0.3%), 154.4 million in FY2024 (+0.1%), 154.2 million in FY2023 (+2.9%) and 149.8 million in FY2022 (+13.4%).
- Quarterly Shares Outstanding has run from a low of 139.7 million in fiscal Q1 2022 to a high of 156.1 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Shares Outstanding has increased in each of the last seven quarters, with growth averaging 0.5% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was fiscal Q3 2022, with growth of 15.9%; the weakest was fiscal Q3 2024, with a decline of 0.1%.
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 156.1 million (Q3 2026), 155.8 million (Q2 2026) and 155.5 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.95 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 443.92 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 479.12 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 606.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 220.61 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 36.97 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 190.60 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 219.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 523.73 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 155.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 155.90 Mn |
| Mar 28, 2026 | 156.10 Mn |
| Dec 27, 2025 | 155.80 Mn |
| Sep 27, 2025 | 155.50 Mn |
| Jun 28, 2025 | 154.80 Mn |
| Mar 29, 2025 | 155.00 Mn |
| Dec 28, 2024 | 154.60 Mn |
| Sep 28, 2024 | 154.60 Mn |
| Jun 29, 2024 | 154.40 Mn |
| Mar 30, 2024 | 154.30 Mn |
| Dec 30, 2023 | 154.20 Mn |
| Sep 30, 2023 | 154.80 Mn |
| Jul 1, 2023 | 154.20 Mn |
| Apr 1, 2023 | 154.50 Mn |
| Dec 31, 2022 | 154.10 Mn |
| Oct 1, 2022 | 153.80 Mn |
| Jul 2, 2022 | 149.80 Mn |
| Apr 2, 2022 | 153.30 Mn |
| Jan 1, 2022 | 152.90 Mn |
| Oct 2, 2021 | 139.70 Mn |
Performance Food Shares Outstanding 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&ticker=PFGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "PFGC", "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&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();