Dollar Tree (DLTR) Receivables - Net (2019 - 2020)
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Analysis
Dollar Tree (DLTR) Receivables - Net (2019 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn |
| 10 | Performance Food | 17.28 Bn | 17.06 Bn | 2.19 Bn |
API Access
Dollar Tree Receivables - Net 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=receivables-net&ticker=DLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "DLTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();