Corvex (MOVE) Operating Expenses (2020 - 2026)
Corvex's Operating Expenses was $19.02 million in Q2 2026, up 465.5% from $3.36 million a year earlier and up 255.0% from the prior quarter.
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Analysis
Corvex (MOVE) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Corvex's Operating Expenses was $31.5 million through Jun 30, 2026, up 49.7% year-over-year; for FY2025, it was $15.94 million, down 36.8% from FY2024.
- Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $25.24 million in FY2024 (-15.0%), $29.69 million in FY2023 (-2.5%), $30.46 million in FY2022 (+53.8%) and $19.8 million in FY2021 (+78.3%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2020.
- Compared with a year earlier, Operating Expenses was higher in 1 of the last eight quarters, with growth averaging 36.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 465.5%); the worst was Q3 2025 (a decline of 64.0%).
- Per Business Quant data, MOVE's Operating Expenses in the three quarters before Q2 2026 was $5.36 million (Q1 2026), $4.46 million (Q4 2025) and $2.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 4,023.81 Bn | 3,959.30 Bn | 62.56 Bn | 10.93 Bn |
| 2 | International Business Machines | 229.57 Bn | 184.18 Bn | 9.71 Bn | 7.00 Bn |
| 3 | Cloudflare | 108.56 Bn | 91.00 Bn | 557.23 Mn | 625.16 Mn |
| 4 | Equinix | 104.79 Bn | 92.69 Bn | 1.31 Bn | 1.97 Bn |
| 5 | Nebius | 34.62 Bn | 23.47 Bn | - | - |
| 6 | CoreWeave | 27.89 Bn | 14.98 Bn | 1.70 Bn | 2.62 Bn |
| 7 | Verisign | 27.57 Bn | 24.93 Bn | 393.20 Mn | 146.50 Mn |
| 8 | Nutanix | 16.13 Bn | 7.81 Bn | 651.35 Mn | 581.36 Mn |
| 9 | GoDaddy | 14.07 Bn | 9.45 Bn | 843.00 Mn | 979.30 Mn |
| 10 | Corvex | 12.83 Mn | -43.02 Mn | 1.68 Mn | 19.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.02 Mn |
| Mar 31, 2026 | 5.36 Mn |
| Dec 31, 2025 | 4.46 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 3.36 Mn |
| Mar 31, 2025 | 5.44 Mn |
| Dec 31, 2024 | 4.80 Mn |
| Sep 30, 2024 | 7.43 Mn |
| Jun 30, 2024 | 6.40 Mn |
| Mar 31, 2024 | 6.61 Mn |
| Dec 31, 2023 | 6.02 Mn |
| Sep 30, 2023 | 9.08 Mn |
| Jun 30, 2023 | 7.38 Mn |
| Mar 31, 2023 | 7.20 Mn |
| Dec 31, 2022 | 8.02 Mn |
| Sep 30, 2022 | 8.66 Mn |
| Jun 30, 2022 | 6.85 Mn |
| Mar 31, 2022 | 6.94 Mn |
| Dec 31, 2021 | 6.31 Mn |
| Sep 30, 2021 | 5.18 Mn |
API Access
Corvex 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=MOVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=MOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();