Performance Food (PFGC) Accumulated Expenses (2015 - 2026)
Performance Food's Accumulated Expenses came in at $1.09 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 6.4% from $1.03 billion a year earlier and up 18.1% from the prior quarter.
Powered by 
Analysis
Performance Food (PFGC) Accumulated Expenses (2015 - 2026) Analysis & Trends
Going back to fiscal Q4 2015, Performance Food's Accumulated Expenses data covers 45 quarters.
- Accumulated Expenses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $1.03 billion in FY2025 (+12.9%), $908.3 million in FY2024 (+1.9%), $891.5 million in FY2023 (+1.0%) and $882.6 million in FY2022 (+41.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2015.
- Year-over-year, Accumulated Expenses has increased for 11 consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2022 (growth of 59.1%), and the weakest in fiscal Q1 2024 (a decline of 1.2%).
- Business Quant data shows PFGC's Accumulated Expenses at $924 million (Q3 2026), $943.6 million (Q2 2026) and $846.7 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.09 Bn |
| Mar 28, 2026 | 924.00 Mn |
| Dec 27, 2025 | 943.60 Mn |
| Sep 27, 2025 | 846.70 Mn |
| Jun 28, 2025 | 1.03 Bn |
| Mar 29, 2025 | 838.60 Mn |
| Dec 28, 2024 | 910.80 Mn |
| Sep 28, 2024 | 770.40 Mn |
| Jun 29, 2024 | 908.30 Mn |
| Mar 30, 2024 | 794.70 Mn |
| Dec 30, 2023 | 837.00 Mn |
| Sep 30, 2023 | 744.90 Mn |
| Jul 1, 2023 | 891.50 Mn |
| Apr 1, 2023 | 780.60 Mn |
| Dec 31, 2022 | 786.60 Mn |
| Oct 1, 2022 | 753.60 Mn |
| Jul 2, 2022 | 882.60 Mn |
| Apr 2, 2022 | 758.60 Mn |
| Jan 1, 2022 | 760.60 Mn |
| Oct 2, 2021 | 709.90 Mn |
API Access
Performance Food Accumulated Expenses 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=accumulated-expenses&ticker=PFGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();