Smart Powerr (CREG) Operating Expenses (2010 - 2026)
Smart Powerr (CREG) posted Operating Expenses of $593,307 for Q1 2026, down 49.3% from $1.17 million a year earlier and down 8.9% from the prior quarter.
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Analysis
Smart Powerr (CREG) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Smart Powerr was $2.55 million, up 24.2% year-over-year; for FY2025, it was $3.13 million, up 186.4% from FY2024.
- In prior years, Smart Powerr's Operating Expenses was $1.09 million in FY2024 (+36.9%), $798,473 in FY2023 (-79.4%), $3.88 million in FY2022 (+380.2%) and $808,154 in FY2021.
- Quarterly Operating Expenses has run from a low of $43,962 in Q4 2021 to a high of $3.33 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 104.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2025, with growth of 461.9%; the weakest was Q4 2023, with a decline of 94.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $651,410 (Q4 2025), $257,700 (Q3 2025) and $1.05 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 5.43 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 448.00 Mn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 538.77 Mn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 214.57 Mn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 600.10 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 523.78 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 66.50 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 4.00 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | 3.95 Mn |
| 10 | Smart Powerr | 298,468.68 | 298,468.68 | 54,670.00 | 593,307.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 593,307.00 |
| Dec 31, 2025 | 651,410.00 |
| Sep 30, 2025 | 257,700.00 |
| Jun 30, 2025 | 1.05 Mn |
| Mar 31, 2025 | 1.17 Mn |
| Dec 31, 2024 | 345,928.00 |
| Sep 30, 2024 | 188,295.00 |
| Jun 30, 2024 | 350,803.00 |
| Mar 31, 2024 | 208,430.00 |
| Dec 31, 2023 | 192,368.00 |
| Sep 30, 2023 | 146,870.00 |
| Jun 30, 2023 | 374,407.00 |
| Mar 31, 2023 | 84,828.00 |
| Dec 31, 2022 | 3.33 Mn |
| Sep 30, 2022 | 168,758.00 |
| Jun 30, 2022 | 187,726.00 |
| Mar 31, 2022 | 195,780.00 |
| Dec 31, 2021 | 43,962.00 |
| Sep 30, 2021 | 380,040.00 |
| Jun 30, 2021 | 111,060.00 |
API Access
Smart Powerr Operating 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=operating-expenses&ticker=CREG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CREG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();