Performance Food (PFGC) Change in Accured Expenses (2014 - 2026)
Performance Food (PFGC) reported Change in Accured Expenses of $181.7 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), down 11.1% from $204.3 million a year earlier.
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Analysis
Performance Food (PFGC) Change in Accured Expenses (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Performance Food posted Change in Accured Expenses of $133.8 million, up 133.5% from FY2025.
- Change in Accured Expenses has a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $57.3 million in FY2025 (-24.5%), $75.9 million in FY2024 (+762.5%), $8.8 million in FY2023 (-85.5%) and $60.6 million in FY2022 (-38.9%).
- Five-year quarterly Change in Accured Expenses spans a low of -$174.4 million in fiscal Q1 2025 and a high of $204.3 million in fiscal Q4 2025.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 21.9%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q2 2023 (growth of 372.9%); the low point was fiscal Q3 2022 (a decline of 90.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -$2.3 million (Q3 2026), $112.5 million (Q2 2026) and -$158.1 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 114.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 5.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 181.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 181.70 Mn |
| Mar 28, 2026 | -2.30 Mn |
| Dec 27, 2025 | 112.50 Mn |
| Sep 27, 2025 | -158.10 Mn |
| Jun 28, 2025 | 204.30 Mn |
| Mar 29, 2025 | -44.80 Mn |
| Dec 28, 2024 | 72.20 Mn |
| Sep 28, 2024 | -174.40 Mn |
| Jun 29, 2024 | 110.50 Mn |
| Mar 30, 2024 | -27.20 Mn |
| Dec 30, 2023 | 124.30 Mn |
| Sep 30, 2023 | -131.70 Mn |
| Jul 1, 2023 | 122.90 Mn |
| Apr 1, 2023 | -24.70 Mn |
| Dec 31, 2022 | 40.20 Mn |
| Oct 1, 2022 | -129.60 Mn |
| Jul 2, 2022 | 122.40 Mn |
| Apr 2, 2022 | 8.10 Mn |
| Jan 1, 2022 | 8.50 Mn |
| Oct 2, 2021 | -78.40 Mn |
API Access
Performance Food Change in Accured 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=change-in-accured-expenses&ticker=PFGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();