ReTo Eco-Solutions (RETO) Price to Book (2017 - 2025)
ReTo Eco-Solutions' Price to Book came in at 0.01 for Q4 2025, up 100.1% from 0.01 a year earlier.
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Analysis
ReTo Eco-Solutions (RETO) Price to Book (2017 - 2025) Analysis & Trends
Going back to Q4 2017, ReTo Eco-Solutions' Price to Book data covers 16 quarters.
- Going back by year, Price to Book was 0.01 in FY2024 (-95.9%), 0.14 in FY2023 (-21.5%), 0.17 in FY2022 (+0.4%) and 0.17 in FY2021 (+480.0%).
- The Q4 2025 figure represents the highest quarterly Price to Book since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 94.35 Bn | 93.19 Bn | 2.75 Bn |
| 2 | Republic Services | 75.58 Bn | 75.19 Bn | 1.90 Bn |
| 3 | Waste Connections | 47.47 Bn | 47.11 Bn | 1.14 Bn |
| 4 | GFL Environmental | 17.11 Bn | 15.13 Bn | - |
| 5 | Clean Harbors | 15.02 Bn | 12.36 Bn | 661.44 Mn |
| 6 | Casella Waste Systems | 6.26 Bn | 5.38 Bn | 178.80 Mn |
| 7 | Onterris | 777.82 Mn | 723.72 Mn | 88.27 Mn |
| 8 | Perma Fix Environmental Services | 297.69 Mn | 190.43 Mn | 552,000.00 |
| 9 | Comstock | 148.56 Mn | 7.78 Mn | -606,061.00 |
| 10 | ReTo Eco-Solutions | 23,096.16 | -4.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.01 |
| Jun 30, 2025 | 0.01 |
| Dec 31, 2024 | 0.01 |
| Jun 30, 2024 | 0.04 |
| Dec 31, 2023 | 0.14 |
| Dec 31, 2022 | 0.17 |
| Jun 30, 2022 | 0.03 |
| Dec 31, 2021 | 0.17 |
| Jun 30, 2021 | 0.03 |
| Dec 31, 2020 | 0.03 |
| Jun 30, 2020 | 0.00 |
| Dec 31, 2019 | 0.03 |
| Jun 30, 2019 | 0.00 |
| Dec 31, 2018 | 0.03 |
| Jun 30, 2018 | 0.11 |
| Dec 31, 2017 | 0.16 |
API Access
ReTo Eco-Solutions Price to Book 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=price-to-book&ticker=RETO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=RETO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();