ReTo Eco-Solutions (RETO) Accumulated Expenses (2020 - 2023)
ReTo Eco-Solutions (RETO) posted Accumulated Expenses of $90.64 billion for Q4 2023, down 53.3% from $194.12 billion a year earlier.
Analysis
ReTo Eco-Solutions (RETO) Accumulated Expenses (2020 - 2023) Analysis & Trends
Since Q4 2020, ReTo Eco-Solutions has reported Accumulated Expenses for 7 quarters.
- Annual Accumulated Expenses shows a three-year compound annual growth rate of 3029.5% (FY2020 to FY2023).
- In prior years, ReTo Eco-Solutions' Accumulated Expenses was $194.12 billion in FY2022 (+46.5%), $132.52 billion in FY2021 and $2.96 million in FY2020.
- Quarterly Accumulated Expenses has run from a low of $35,658 in Q2 2021 to a high of $194.12 billion in Q4 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in two of the last four quarters, with growth averaging 41.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 95.95 Bn | 94.79 Bn | 2.75 Bn |
| 2 | Republic Services | 75.98 Bn | 75.59 Bn | 1.90 Bn |
| 3 | Waste Connections | 47.95 Bn | 47.60 Bn | 1.14 Bn |
| 4 | GFL Environmental | 17.11 Bn | 15.30 Bn | - |
| 5 | Clean Harbors | 14.65 Bn | 11.99 Bn | 661.44 Mn |
| 6 | Casella Waste Systems | 6.27 Bn | 5.39 Bn | 178.80 Mn |
| 7 | Onterris | 679.46 Mn | 625.36 Mn | 88.27 Mn |
| 8 | Perma Fix Environmental Services | 272.46 Mn | 165.19 Mn | 552,000.00 |
| 9 | Comstock | 131.58 Mn | -5.88 Mn | -606,061.00 |
| 10 | ReTo Eco-Solutions | 17,592.90 | -1.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 90.64 Bn |
| Jun 30, 2023 | 69,821.00 |
| Dec 31, 2022 | 194.12 Bn |
| Jun 30, 2022 | 110,669.00 |
| Dec 31, 2021 | 132.52 Bn |
| Jun 30, 2021 | 35,658.00 |
| Dec 31, 2020 | 2.96 Mn |
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_KEY
import 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();