Corvex (MOVE) Other Operating Expenses (2024 - 2026)
Corvex's Other Operating Expenses came in at $5.53 million for Q2 2026, compared with $362,000 a year earlier and up 384.6% from the prior quarter.
Corvex (MOVE) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Corvex reported Other Operating Expenses of $7.95 million, up 147.0% year-over-year; for FY2025, it was $2.27 million, down 24.4% from FY2024.
- Going back by year, Other Operating Expenses was $3.01 million in FY2024.
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2024.
- Year-over-year, Other Operating Expenses increased in two of the last five quarters, with growth averaging 0.1%.
- Business Quant data shows MOVE's Other Operating Expenses at $1.14 million (Q1 2026), $989,000 (Q4 2025) and $280,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 4,023.81 Bn | 3,959.30 Bn | 62.56 Bn |
| 2 | International Business Machines | 229.57 Bn | 184.18 Bn | 9.71 Bn |
| 3 | Cloudflare | 108.56 Bn | 91.00 Bn | 557.23 Mn |
| 4 | Equinix | 104.79 Bn | 92.69 Bn | 1.31 Bn |
| 5 | Nebius | 34.62 Bn | 23.47 Bn | - |
| 6 | CoreWeave | 27.89 Bn | 14.98 Bn | 1.70 Bn |
| 7 | Verisign | 27.57 Bn | 24.93 Bn | 393.20 Mn |
| 8 | Nutanix | 16.13 Bn | 7.81 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.07 Bn | 9.45 Bn | 843.00 Mn |
| 10 | Corvex | 12.83 Mn | -43.02 Mn | 1.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.53 Mn |
| Mar 31, 2026 | 1.14 Mn |
| Dec 31, 2025 | 989,000.00 |
| Sep 30, 2025 | 280,000.00 |
| Jun 30, 2025 | 362,000.00 |
| Mar 31, 2025 | 1.44 Mn |
| Dec 31, 2024 | 567,000.00 |
| Sep 30, 2024 | 845,000.00 |
| Jun 30, 2024 | 380,000.00 |
| Mar 31, 2024 | 1.22 Mn |
Corvex Other 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=other-operating-expenses&ticker=MOVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MOVE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=MOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();