Smart Powerr (CREG) Total Non-Current Liabilities (2010 - 2026)
Smart Powerr (CREG) posted Total Non-Current Liabilities of $3.35 million for Q1 2026, down 1.7% from $3.41 million a year earlier and unchanged from the prior quarter.
Smart Powerr (CREG) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Since Q4 2010, Smart Powerr has reported Total Non-Current Liabilities for 61 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- In prior years, Smart Powerr's Total Non-Current Liabilities was $3.41 million in FY2024 (+1.7%), $3.35 million in FY2023 (-15.4%), $3.96 million in FY2022 (-14.5%) and $4.63 million in FY2021 (-22.0%).
- Quarterly Total Non-Current Liabilities has run from a low of $29,490 in Q3 2025 to a high of $6.01 million in Q2 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last five quarters, with an average decline of 16.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2024, with growth of 1.7%; the weakest was Q3 2025, with a decline of 99.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $3.35 million (Q4 2025), $29,490 (Q3 2025) and $3.38 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 33.19 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 20.48 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 12.82 Bn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 3.75 Bn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 12.06 Bn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 1.78 Bn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 530.71 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 16.13 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | - |
| 10 | Smart Powerr | 298,468.68 | 298,468.68 | 54,670.00 | 3.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.35 Mn |
| Dec 31, 2025 | 3.35 Mn |
| Sep 30, 2025 | 29,490.00 |
| Jun 30, 2025 | 3.38 Mn |
| Mar 31, 2025 | 3.41 Mn |
| Dec 31, 2024 | 3.41 Mn |
| Sep 30, 2024 | 3.41 Mn |
| Jun 30, 2024 | 3.44 Mn |
| Mar 31, 2024 | 3.47 Mn |
| Dec 31, 2023 | 3.35 Mn |
| Sep 30, 2023 | 3.96 Mn |
| Jun 30, 2023 | 3.96 Mn |
| Mar 31, 2023 | 3.96 Mn |
| Dec 31, 2022 | 3.96 Mn |
| Sep 30, 2022 | 4.57 Mn |
| Jun 30, 2022 | 4.60 Mn |
| Mar 31, 2022 | 4.60 Mn |
| Dec 31, 2021 | 4.63 Mn |
| Sep 30, 2021 | 6.01 Mn |
| Jun 30, 2021 | 6.01 Mn |
Smart Powerr Total Non-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-non-current-liabilities&ticker=CREG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=CREG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();