Performance Food (PFGC) Other Non-Current Liabilities (2015 - 2026)
Performance Food (PFGC) reported Other Non-Current Liabilities of $407.7 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 21.8% from $334.7 million a year earlier and up 3.5% from the prior quarter.
Performance Food (PFGC) Other Non-Current Liabilities (2015 - 2026) Analysis & Trends
Dating back to fiscal Q4 2015, Performance Food's Other Non-Current Liabilities record includes 45 quarters.
- Other Non-Current Liabilities has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 15.5% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Liabilities came in at $334.7 million in FY2025 (+15.8%), $289 million in FY2024 (+32.6%), $217.9 million in FY2023 (+1.4%) and $214.9 million in FY2022 (+8.3%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2015.
- Year over year, Other Non-Current Liabilities has now increased in each of the last 13 quarters, with growth averaging 19.0% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was fiscal Q3 2024 (growth of 38.9%); the low point was fiscal Q1 2023 (a decline of 6.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $393.8 million (Q3 2026), $380.7 million (Q2 2026) and $360.3 million (Q1 2026).
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
| Date | Value |
|---|---|
| Jun 27, 2026 | 407.70 Mn |
| Mar 28, 2026 | 393.80 Mn |
| Dec 27, 2025 | 380.70 Mn |
| Sep 27, 2025 | 360.30 Mn |
| Jun 28, 2025 | 334.70 Mn |
| Mar 29, 2025 | 314.30 Mn |
| Dec 28, 2024 | 310.10 Mn |
| Sep 28, 2024 | 271.60 Mn |
| Jun 29, 2024 | 289.00 Mn |
| Mar 30, 2024 | 290.50 Mn |
| Dec 30, 2023 | 277.20 Mn |
| Sep 30, 2023 | 239.20 Mn |
| Jul 1, 2023 | 217.90 Mn |
| Apr 1, 2023 | 209.10 Mn |
| Dec 31, 2022 | 223.40 Mn |
| Oct 1, 2022 | 221.50 Mn |
| Jul 2, 2022 | 214.90 Mn |
| Apr 2, 2022 | 217.10 Mn |
| Jan 1, 2022 | 210.70 Mn |
| Oct 2, 2021 | 235.60 Mn |
Performance Food Other Non-Current 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=other-non-current-liabilities&ticker=PFGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();