Performance Food (PFGC) Total Liabilities (2015 - 2026)
Performance Food (PFGC) posted Total Liabilities of $13.95 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 4.0% from $13.41 billion a year earlier and up 1.9% from the prior quarter.
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Analysis
Performance Food (PFGC) Total Liabilities (2015 - 2026) Analysis & Trends
Since fiscal Q4 2015, Performance Food has reported Total Liabilities for 45 quarters.
- Annual Total Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 19.4% (FY2021 to FY2026).
- In prior fiscal years, Performance Food's Total Liabilities was $13.41 billion in FY2025 (+44.7%), $9.27 billion in FY2024 (+5.9%), $8.75 billion in FY2023 (-3.6%) and $9.08 billion in FY2022 (+58.2%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2015.
- On a year-over-year basis, Total Liabilities has increased in each of the last 12 quarters, with growth averaging 24.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 62.7%; the weakest was fiscal Q4 2023, with a decline of 3.6%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $13.69 billion (Q3 2026), $13.53 billion (Q2 2026) and $13.78 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.32 Bn | 952.75 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 469.92 Bn | 393.20 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Kroger | 40.99 Bn | 27.14 Bn | 7.86 Bn | 43.65 Bn |
| 4 | Sysco | 37.79 Bn | 29.71 Bn | 4.05 Bn | 26.41 Bn |
| 5 | Dollar General | 30.20 Bn | 24.88 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Dollar Tree | 26.17 Bn | 22.79 Bn | 2.10 Bn | 10.60 Bn |
| 7 | Caseys General Stores | 25.41 Bn | 23.40 Bn | 1.24 Bn | 5.03 Bn |
| 8 | US Foods Holding | 23.76 Bn | 23.56 Bn | 1.90 Bn | 10.03 Bn |
| 9 | Tractor Supply | 19.62 Bn | 18.77 Bn | 1.42 Bn | 9.59 Bn |
| 10 | Performance Food | 17.44 Bn | 17.22 Bn | 2.19 Bn | 13.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 13.85 Bn |
| Jun 27, 2026 | 13.95 Bn |
| Mar 28, 2026 | 13.69 Bn |
| Dec 27, 2025 | 13.53 Bn |
| Sep 27, 2025 | 13.78 Bn |
| Jun 28, 2025 | 13.41 Bn |
| Mar 29, 2025 | 12.79 Bn |
| Dec 28, 2024 | 12.84 Bn |
| Sep 28, 2024 | 10.19 Bn |
| Jun 29, 2024 | 9.27 Bn |
| Mar 30, 2024 | 8.92 Bn |
| Dec 30, 2023 | 9.05 Bn |
| Sep 30, 2023 | 9.07 Bn |
| Jul 1, 2023 | 8.75 Bn |
| Apr 1, 2023 | 8.61 Bn |
| Dec 31, 2022 | 8.69 Bn |
| Oct 1, 2022 | 8.77 Bn |
| Jul 2, 2022 | 9.08 Bn |
| Apr 2, 2022 | 8.78 Bn |
| Jan 1, 2022 | 8.80 Bn |
API Access
Performance Food Total Liabilities 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=total-liabilities&ticker=PFGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();