Performance Food (PFGC) Operating Expenses (2014 - 2026)
Performance Food (PFGC) posted Operating Expenses of $1.85 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 6.4% from $1.73 billion a year earlier and up 3.1% from the prior quarter.
Powered by 
Analysis
Performance Food (PFGC) Operating Expenses (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Performance Food's Operating Expenses came in at $7.2 billion, up 9.1% from FY2025.
- Annual Operating Expenses has increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 16.7% (FY2021 to FY2026).
- In prior fiscal years, Performance Food's Operating Expenses was $6.6 billion in FY2025 (+14.8%), $5.75 billion in FY2024 (+4.8%), $5.49 billion in FY2023 (+11.4%) and $4.93 billion in FY2022 (+48.3%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2015.
- On a year-over-year basis, Operating Expenses has increased in each of the last 21 quarters, with growth averaging 12.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 4.2% (fiscal Q4 2024) to 62.8% (fiscal Q2 2022).
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.79 billion (Q3 2026), $1.78 billion (Q2 2026) and $1.79 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 1.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.85 Bn |
| Mar 28, 2026 | 1.79 Bn |
| Dec 27, 2025 | 1.78 Bn |
| Sep 27, 2025 | 1.79 Bn |
| Jun 28, 2025 | 1.73 Bn |
| Mar 29, 2025 | 1.65 Bn |
| Dec 28, 2024 | 1.67 Bn |
| Sep 28, 2024 | 1.55 Bn |
| Jun 29, 2024 | 1.47 Bn |
| Mar 30, 2024 | 1.41 Bn |
| Dec 30, 2023 | 1.42 Bn |
| Sep 30, 2023 | 1.45 Bn |
| Jul 1, 2023 | 1.41 Bn |
| Apr 1, 2023 | 1.34 Bn |
| Dec 31, 2022 | 1.36 Bn |
| Oct 1, 2022 | 1.38 Bn |
| Jul 2, 2022 | 1.34 Bn |
| Apr 2, 2022 | 1.28 Bn |
| Jan 1, 2022 | 1.22 Bn |
| Oct 2, 2021 | 1.09 Bn |
API Access
Performance Food Operating 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=operating-expenses&ticker=PFGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();