Performance Food (PFGC) Long-Term Debt Repayments (2014 - 2026)
Performance Food's Long-Term Debt Repayments was $65.4 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 24.3% from $52.6 million a year earlier and up 5.3% from the prior quarter.
Performance Food (PFGC) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Long-Term Debt Repayments at Performance Food came in at $241.6 million, up 28.5% from FY2025.
- Long-Term Debt Repayments has now increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 44.8% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $188 million in FY2025 (+53.8%), $122.2 million in FY2024 (+38.1%), $88.5 million in FY2023 (+22.7%) and $72.1 million in FY2022 (+90.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q1 2015.
- Compared with a year earlier, Long-Term Debt Repayments has increased for 13 straight quarters, with growth averaging 41.7% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q4 2023 (growth of 406.4%); the worst was fiscal Q4 2022 (a decline of 55.7%).
- Per Business Quant data, PFGC's Long-Term Debt Repayments in the three fiscal quarters before Q4 2026 was $62.1 million (Q3 2026), $56.6 million (Q2 2026) and $57.5 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | - |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 1.05 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | - |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 45.21 Mn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 2.55 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 1.78 Bn |
| 10 | Performance Food | 17.40 Bn | 17.18 Bn | 2.19 Bn | 76.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 76.10 Mn |
| Dec 27, 2025 | 56.60 Mn |
| Sep 27, 2025 | 57.50 Mn |
| Dec 28, 2024 | 46.80 Mn |
| Sep 28, 2024 | 38.00 Mn |
| Dec 30, 2023 | 28.50 Mn |
| Sep 30, 2023 | 28.00 Mn |
| Oct 1, 2022 | 22.00 Mn |
| Jan 1, 2022 | 11.80 Mn |
| Oct 2, 2021 | 15.00 Mn |
| Dec 26, 2020 | 9.00 Mn |
| Sep 26, 2020 | 8.00 Mn |
| Jun 27, 2020 | 7.30 Mn |
| Mar 28, 2020 | -100,000.00 |
| Sep 28, 2019 | 4.60 Mn |
| Jun 29, 2019 | 3.90 Mn |
| Mar 30, 2019 | 3.70 Mn |
| Dec 29, 2018 | 3.20 Mn |
| Sep 29, 2018 | 2.40 Mn |
| Jun 30, 2018 | 1.80 Mn |
Performance Food Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PFGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();