ReTo Eco-Solutions (RETO) Accumulated Expenses (2020)
ReTo Eco-Solutions (RETO) posted Accumulated Expenses of $2.96 million for Q4 2020.
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Analysis
ReTo Eco-Solutions (RETO) Accumulated Expenses (2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 |
| 10 | ReTo Eco-Solutions | 79,397.67 | -2.33 Bn | - |
API Access
ReTo Eco-Solutions Accumulated Expenses 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=accumulated-expenses&ticker=RETO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RETO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RETO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();