Smart Powerr (CREG) Non Operating Interest Expenses (2010 - 2026)
Smart Powerr (CREG) reported Non Operating Interest Expenses of $60,662 for Q1 2026, up 8.9% from the prior quarter.
Smart Powerr (CREG) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Smart Powerr's Non Operating Interest Expenses came in at $482,774; for FY2025, it came in at $422,112, down 11.8% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -22.0% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $478,328 in FY2024 (+9.9%), $435,241 in FY2023 (-36.6%), $686,581 in FY2022 (-77.9%) and $3.11 million in FY2021 (+112.3%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $55,718 in Q4 2025 and a high of $1.89 million in Q4 2021.
- Year over year, Non Operating Interest Expenses gained in three of the last six quarters, with growth averaging 24.2%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2021 (growth of 344.2%); the low point was Q4 2022 (a decline of 93.9%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $55,718 (Q4 2025), $114,980 (Q3 2025) and $251,414 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | - |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 151.00 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 91.20 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | - |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 163.90 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 17.94 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | - |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 73,000.00 |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | - |
| 10 | Smart Powerr | 298,468.68 | 298,468.68 | 54,670.00 | 60,662.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 60,662.00 |
| Dec 31, 2025 | 55,718.00 |
| Sep 30, 2025 | 114,980.00 |
| Jun 30, 2025 | 251,414.00 |
| Dec 31, 2024 | 174,477.00 |
| Sep 30, 2024 | 99,520.00 |
| Jun 30, 2024 | 100,251.00 |
| Mar 31, 2024 | 104,080.00 |
| Dec 31, 2023 | 107,041.00 |
| Sep 30, 2023 | 107,920.00 |
| Jun 30, 2023 | 109,176.00 |
| Mar 31, 2023 | 111,104.00 |
| Dec 31, 2022 | 115,531.00 |
| Sep 30, 2022 | 340,732.00 |
| Jun 30, 2022 | 109,742.00 |
| Mar 31, 2022 | 120,576.00 |
| Dec 31, 2021 | 1.89 Mn |
| Sep 30, 2021 | 165,854.00 |
| Jun 30, 2021 | 964,529.00 |
| Mar 31, 2021 | 82,086.00 |
Smart Powerr Non Operating Interest 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=non-operating-interest-expenses&ticker=CREG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=CREG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();