Smart Powerr (CREG) Total Liabilities (2010 - 2026)
Smart Powerr's Total Liabilities was $11.94 million in Q1 2026, down 27.4% from $16.45 million a year earlier and down 17.6% from the prior quarter.
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Analysis
Smart Powerr (CREG) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Smart Powerr came in at $14.49 million, down 12.2% from FY2024.
- Total Liabilities has now declined for seven consecutive years, with a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $16.5 million in FY2024 (-39.4%), $27.22 million in FY2023 (-3.9%), $28.34 million in FY2022 (-0.6%) and $28.51 million in FY2021 (-36.6%).
- The Q1 2026 figure marks the lowest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with an average decline of 25.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 54.8%); the worst was Q3 2021 (a decline of 61.6%).
- Per Business Quant data, CREG's Total Liabilities in the three quarters before Q1 2026 was $14.49 million (Q4 2025), $14.75 million (Q3 2025) and $16.12 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.35 Bn | 93.19 Bn | 2.75 Bn | 36.65 Bn |
| 2 | Republic Services | 75.58 Bn | 75.19 Bn | 1.90 Bn | 23.27 Bn |
| 3 | Waste Connections | 47.47 Bn | 47.11 Bn | 1.14 Bn | 13.63 Bn |
| 4 | GFL Environmental | 17.11 Bn | 15.13 Bn | - | 17.13 Bn |
| 5 | Clean Harbors | 15.02 Bn | 12.36 Bn | 661.44 Mn | 5.17 Bn |
| 6 | Casella Waste Systems | 6.26 Bn | 5.38 Bn | 178.80 Mn | 1.98 Bn |
| 7 | Onterris | 777.82 Mn | 723.72 Mn | 88.27 Mn | 516.22 Mn |
| 8 | Perma Fix Environmental Services | 297.69 Mn | 190.43 Mn | 552,000.00 | 47.22 Mn |
| 9 | Comstock | 148.56 Mn | 7.78 Mn | -606,061.00 | 41.73 Mn |
| 10 | Smart Powerr | 45,918.26 | -421.78 Mn | 54,670.00 | 11.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.94 Mn |
| Dec 31, 2025 | 14.49 Mn |
| Sep 30, 2025 | 14.75 Mn |
| Jun 30, 2025 | 16.12 Mn |
| Mar 31, 2025 | 16.45 Mn |
| Dec 31, 2024 | 16.50 Mn |
| Sep 30, 2024 | 27.42 Mn |
| Jun 30, 2024 | 27.25 Mn |
| Mar 31, 2024 | 27.13 Mn |
| Dec 31, 2023 | 27.22 Mn |
| Sep 30, 2023 | 27.22 Mn |
| Jun 30, 2023 | 27.24 Mn |
| Mar 31, 2023 | 28.06 Mn |
| Dec 31, 2022 | 28.34 Mn |
| Sep 30, 2022 | 25.86 Mn |
| Jun 30, 2022 | 26.27 Mn |
| Mar 31, 2022 | 26.94 Mn |
| Dec 31, 2021 | 28.51 Mn |
| Sep 30, 2021 | 16.71 Mn |
| Jun 30, 2021 | 18.00 Mn |
API Access
Smart Powerr Total Liabilities 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-liabilities&ticker=CREG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CREG", "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-liabilities&ticker=CREG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();