Where Food Comes From (WFCF) Total Debt (2010 - 2020)
Where Food Comes From's Total Debt was $1.04 million in Q4 2020, up 0.3% from the prior quarter.
Analysis
Where Food Comes From (WFCF) Total Debt (2010 - 2020) Analysis & Trends
From Q4 2010 onward, Where Food Comes From has reported Total Debt for 33 quarters.
- Total Debt shows a five-year compound annual growth rate of 129.6% (FY2015 to FY2020).
- In earlier years, Total Debt was $42,393 in FY2018 (-18.3%) and $51,898 in FY2017.
- The Q4 2020 figure marks the highest quarterly Total Debt in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 5.14 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.43 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 17.35 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 3.52 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 703.03 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 6.13 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 301.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 2.98 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -1.94 Bn |
| 10 | Where Food Comes From | 57.67 Mn | 43.09 Mn | 2.68 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 1.04 Mn |
| Sep 30, 2020 | 1.03 Mn |
| Jun 30, 2020 | 1.03 Mn |
| Sep 30, 2019 | 35,655.00 |
| Jun 30, 2019 | 38,220.00 |
| Mar 31, 2019 | 40,739.00 |
| Dec 31, 2018 | 42,393.00 |
| Sep 30, 2018 | 44,836.00 |
| Jun 30, 2018 | 47,234.00 |
| Mar 31, 2018 | 49,586.00 |
| Dec 31, 2017 | 51,898.00 |
| Sep 30, 2017 | 54,165.00 |
| Jun 30, 2016 | 12,324.00 |
| Mar 31, 2016 | 14,281.00 |
| Dec 31, 2015 | 16,211.00 |
| Sep 30, 2015 | 18,115.00 |
| Jun 30, 2015 | 19,993.00 |
| Mar 31, 2015 | 21,844.00 |
| Dec 31, 2014 | 23,670.00 |
| Sep 30, 2014 | 25,471.00 |
API Access
Where Food Comes From Total Debt 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-debt&ticker=WFCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "WFCF", "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-debt&ticker=WFCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();