Performance Food (PFGC) Cash & Equivalents (2014 - 2026)
Performance Food (PFGC) posted Cash & Equivalents of $92.4 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 17.7% from $78.5 million a year earlier and up 101.3% from the prior quarter.
Performance Food (PFGC) Cash & Equivalents (2014 - 2026) Analysis & Trends
Since fiscal Q1 2015, Performance Food has reported Cash & Equivalents for 48 quarters.
- Annual Cash & Equivalents has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 52.8% (FY2021 to FY2026).
- In prior fiscal years, Performance Food's Cash & Equivalents was $78.5 million in FY2025 (+292.5%), $20 million in FY2024 (+57.5%), $12.7 million in FY2023 (+9.5%) and $11.6 million in FY2022 (+4.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Cash & Equivalents since fiscal Q3 2021.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 163.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2025, with growth of 444.9%; the weakest was fiscal Q2 2022, with a decline of 97.8%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $45.9 million (Q3 2026), $41 million (Q2 2026) and $38.1 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 92.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 92.40 Mn |
| Mar 28, 2026 | 45.90 Mn |
| Dec 27, 2025 | 41.00 Mn |
| Sep 27, 2025 | 38.10 Mn |
| Jun 28, 2025 | 78.50 Mn |
| Mar 29, 2025 | 10.20 Mn |
| Dec 28, 2024 | 10.70 Mn |
| Sep 28, 2024 | 42.50 Mn |
| Jun 29, 2024 | 20.00 Mn |
| Mar 30, 2024 | 16.50 Mn |
| Dec 30, 2023 | 16.40 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jul 1, 2023 | 12.70 Mn |
| Apr 1, 2023 | 8.20 Mn |
| Dec 31, 2022 | 6.10 Mn |
| Oct 1, 2022 | 10.60 Mn |
| Jul 2, 2022 | 11.60 Mn |
| Apr 2, 2022 | 13.70 Mn |
| Jan 1, 2022 | 9.60 Mn |
| Oct 2, 2021 | 35.10 Mn |
Performance Food Cash & Equivalents 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=cash-and-equivalents&ticker=PFGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();