Conectisys (CONC) Operating Expenses (2020 - 2026)
Conectisys' Operating Expenses was $4,750 in fiscal Q3 2022 (quarter ended Jun 30, 2022), up 80.7% from the prior quarter.
Conectisys (CONC) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Conectisys' Operating Expenses was $10,836 through Jun 30, 2022; for FY2021 (ended Sep 30, 2021), it was $4,274, down 28.1% from FY2020.
- In earlier fiscal years, Operating Expenses was $5,941 in FY2020.
- Per Business Quant data, CONC's Operating Expenses in the three fiscal quarters before Q3 2022 was $2,629 (Q2 2022), $2,562 (Q1 2022) and $895.00 (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 2.33 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 279.27 Mn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 12.58 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 2.12 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 161.04 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 1.08 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 1.37 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 53.21 Mn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 429.00 Mn |
| 10 | Conectisys | 1.39 Mn | 1.39 Mn | - | 2,250.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2,250.00 |
| Jun 30, 2026 | 2,250.00 |
| Mar 31, 2026 | 2,250.00 |
| Dec 31, 2025 | 2,250.00 |
| Sep 30, 2025 | 1,428.00 |
| Jun 30, 2025 | 428.00 |
| Mar 31, 2025 | 1,090.00 |
| Dec 31, 2024 | 2,608.00 |
| Sep 30, 2024 | 11,320.00 |
| Jun 30, 2024 | 6,411.00 |
| Mar 31, 2024 | 917.00 |
| Dec 31, 2023 | 1,000.00 |
| Sep 30, 2023 | 1,300.00 |
| Jun 30, 2023 | 2,213.00 |
| Mar 31, 2023 | 2,087.00 |
| Sep 30, 2022 | 2,087.00 |
| Jun 30, 2022 | 2,121.00 |
| Mar 31, 2022 | 2,629.00 |
| Dec 31, 2021 | 2,562.00 |
| Jun 30, 2021 | 251.00 |
Conectisys 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=CONC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CONC", "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=CONC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();