Viking Global Technologies (CEIN) Operating Expenses (2010 - 2026)
Camber Energy's Operating Expenses was $692,611 in Q2 2026, down 46.8% from $1.3 million a year earlier but up 11.2% from the prior quarter.
Viking Global Technologies (CEIN) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Camber Energy's Operating Expenses was $6.18 million through Jun 30, 2026, down 78.3% year-over-year; for FY2025, it was $14.18 million, down 64.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $39.79 million in FY2024 (+1.9%), $39.05 million in FY2023 (+15.8%), $33.71 million in FY2022 (+477.8%) and $5.83 million in FY2021 (+9.0%).
- Quarterly Operating Expenses has moved between $622,852 (Q1 2026) and $11.69 million (Q2 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for eight straight quarters, with an average decline of 52.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2022 (growth of 794.4%); the worst was Q3 2025 (a decline of 92.6%).
- Per Business Quant data, CEIN's Operating Expenses in the three quarters before Q2 2026 was $622,852 (Q1 2026), $4.2 million (Q4 2025) and $661,218 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 238.25 Bn | 198.17 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 64.00 Bn | 55.79 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.75 Bn | 9.70 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.32 Bn | 10.62 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Nextpower | 11.91 Bn | 7.80 Bn | 335.85 Mn | 144.95 Mn |
| 6 | Generac Holdings | 11.42 Bn | 10.25 Bn | 521.81 Mn | 311.38 Mn |
| 7 | EnerSys | 6.22 Bn | 4.41 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.25 Bn | -607.94 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.72 Bn | 1.56 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Viking Global Technologies | 8.45 Mn | 13.49 Mn | - | 692,611.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 692,611.00 |
| Mar 31, 2026 | 622,852.00 |
| Dec 31, 2025 | 4.20 Mn |
| Sep 30, 2025 | 661,218.00 |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 8.01 Mn |
| Dec 31, 2024 | 10.24 Mn |
| Sep 30, 2024 | 8.91 Mn |
| Jun 30, 2024 | 11.69 Mn |
| Mar 31, 2024 | 8.95 Mn |
| Dec 31, 2023 | 11.43 Mn |
| Sep 30, 2023 | 10.67 Mn |
| Jun 30, 2023 | 8.72 Mn |
| Mar 31, 2023 | 8.22 Mn |
| Dec 31, 2022 | 8.15 Mn |
| Sep 30, 2022 | 9.15 Mn |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 1.15 Mn |
| Sep 30, 2021 | 1.02 Mn |
| Jun 30, 2021 | 1.32 Mn |
Viking Global Technologies 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=CEIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CEIN", "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=CEIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();