Smart Powerr (CREG) Total Current Liabilities (2010 - 2026)
Smart Powerr (CREG) reported Total Current Liabilities of $8.59 million for Q1 2026, down 34.1% from $13.04 million a year earlier and down 22.9% from the prior quarter.
Smart Powerr (CREG) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Smart Powerr posted Total Current Liabilities of $11.14 million, down 14.9% from FY2024.
- Total Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -22.2% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $13.1 million in FY2024 (-45.1%), $23.87 million in FY2023 (-2.1%), $24.38 million in FY2022 (+2.1%) and $23.88 million in FY2021 (-38.8%).
- The Q1 2026 figure ranks as the lowest quarterly Total Current Liabilities in data going back to Q4 2010.
- Year over year, Total Current Liabilities has now declined in each of the last six quarters, with an average decline of 27.3% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2022 (growth of 99.0%); the low point was Q3 2021 (a decline of 71.0%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $11.14 million (Q4 2025), $14.73 million (Q3 2025) and $12.74 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.35 Bn | 93.19 Bn | 2.75 Bn | 6.39 Bn |
| 2 | Republic Services | 75.58 Bn | 75.19 Bn | 1.90 Bn | 3.58 Bn |
| 3 | Waste Connections | 47.47 Bn | 47.11 Bn | 1.14 Bn | 2.15 Bn |
| 4 | GFL Environmental | 17.11 Bn | 15.13 Bn | - | 2.54 Bn |
| 5 | Clean Harbors | 15.02 Bn | 12.36 Bn | 661.44 Mn | 1.29 Bn |
| 6 | Casella Waste Systems | 6.26 Bn | 5.38 Bn | 178.80 Mn | 316.96 Mn |
| 7 | Onterris | 777.82 Mn | 723.72 Mn | 88.27 Mn | 128.33 Mn |
| 8 | Perma Fix Environmental Services | 297.69 Mn | 190.43 Mn | 552,000.00 | 32.51 Mn |
| 9 | Comstock | 148.56 Mn | 7.78 Mn | -606,061.00 | 14.42 Mn |
| 10 | Smart Powerr | 45,918.26 | -421.78 Mn | 54,670.00 | 8.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.59 Mn |
| Dec 31, 2025 | 11.14 Mn |
| Sep 30, 2025 | 14.73 Mn |
| Jun 30, 2025 | 12.74 Mn |
| Mar 31, 2025 | 13.04 Mn |
| Dec 31, 2024 | 13.10 Mn |
| Sep 30, 2024 | 24.00 Mn |
| Jun 30, 2024 | 23.81 Mn |
| Mar 31, 2024 | 23.66 Mn |
| Dec 31, 2023 | 23.87 Mn |
| Sep 30, 2023 | 23.27 Mn |
| Jun 30, 2023 | 23.28 Mn |
| Mar 31, 2023 | 24.10 Mn |
| Dec 31, 2022 | 24.38 Mn |
| Sep 30, 2022 | 21.30 Mn |
| Jun 30, 2022 | 21.68 Mn |
| Mar 31, 2022 | 22.34 Mn |
| Dec 31, 2021 | 23.88 Mn |
| Sep 30, 2021 | 10.70 Mn |
| Jun 30, 2021 | 11.99 Mn |
Smart Powerr Total Current 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-current-liabilities&ticker=CREG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=CREG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();