Performance Food (PFGC) Shares Outstanding (Diluted) (2014 - 2026)
Performance Food (PFGC) recorded Shares Outstanding (Diluted) of 157 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 0.4% from 156.4 million a year earlier and unchanged from the prior quarter.
Performance Food (PFGC) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
Starting with fiscal Q1 2015, Performance Food's Shares Outstanding (Diluted) history includes 48 quarters.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 156.4 million in FY2025 (+0.3%), 156 million in FY2024 (-0.1%), 156.1 million in FY2023 (+3.2%) and 151.3 million in FY2022 (+13.4%).
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 17.1% in fiscal Q3 2022, against a decline of 0.3% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 157 million (Q3 2026), 156.8 million (Q2 2026) and 156.9 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.98 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 444.43 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 480.61 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 608.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 221.51 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 37.14 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 190.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 221.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 524.62 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 157.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 157.00 Mn |
| Mar 28, 2026 | 157.00 Mn |
| Dec 27, 2025 | 156.80 Mn |
| Sep 27, 2025 | 156.90 Mn |
| Jun 28, 2025 | 156.40 Mn |
| Mar 29, 2025 | 156.50 Mn |
| Dec 28, 2024 | 156.30 Mn |
| Sep 28, 2024 | 156.20 Mn |
| Jun 29, 2024 | 156.00 Mn |
| Mar 30, 2024 | 156.10 Mn |
| Dec 30, 2023 | 155.70 Mn |
| Sep 30, 2023 | 156.60 Mn |
| Jul 1, 2023 | 156.10 Mn |
| Apr 1, 2023 | 156.50 Mn |
| Dec 31, 2022 | 156.10 Mn |
| Oct 1, 2022 | 155.60 Mn |
| Jul 2, 2022 | 151.30 Mn |
| Apr 2, 2022 | 154.90 Mn |
| Jan 1, 2022 | 154.30 Mn |
| Oct 2, 2021 | 141.20 Mn |
Performance Food 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=PFGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();