Performance Food (PFGC) Short-Term Debt repayments (2014 - 2016)
Performance Food's Short-Term Debt repayments came in at $308.3 million for fiscal Q4 2016 (quarter ended Jul 2, 2016), compared with $1.9 million a year earlier and up 52.8% from the prior quarter.
Performance Food (PFGC) Short-Term Debt repayments (2014 - 2016) Analysis & Trends
For FY2016 (ended Jul 2, 2016), Performance Food's Short-Term Debt repayments was $736.9 million.
- Going back by fiscal year, Short-Term Debt repayments was $7.5 million in FY2015 (+33.9%) and $5.6 million in FY2014.
- The fiscal Q4 2016 figure represents the highest quarterly Short-Term Debt repayments in data going back to fiscal Q1 2015.
- Business Quant data shows PFGC's Short-Term Debt repayments at $201.8 million (Q3 2016), $224.9 million (Q2 2016) and $1.9 million (Q1 2016) in the three fiscal quarters before Q4 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | 187.00 Mn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | - |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | - |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | - |
| 10 | Performance Food | 15.22 Bn | 15.00 Bn | 2.17 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 2, 2016 | 308.30 Mn |
| Mar 26, 2016 | 201.80 Mn |
| Dec 26, 2015 | 224.90 Mn |
| Sep 26, 2015 | 1.90 Mn |
| Jun 27, 2015 | 1.90 Mn |
| Mar 28, 2015 | 1.80 Mn |
| Dec 27, 2014 | 1.90 Mn |
| Sep 27, 2014 | 1.90 Mn |
Performance Food Short-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=short-term-debt-repayments&ticker=PFGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=PFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();