Corvex (MOVE) Interest Expenses (2020 - 2026)
Corvex (MOVE) recorded Interest Expenses of $31,000 in Q2 2026, down 82.6% from the prior quarter.
Analysis
Corvex (MOVE) Interest Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Corvex's Interest Expenses came in at $3.17 million as of Jun 30, 2026; for FY2025, it came in at $2.97 million.
- Annual Interest Expenses has a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $800,000 in FY2022 (-9.4%) and $883,000 in FY2021 (-12.1%).
- The Q2 2026 figure is the lowest quarterly Interest Expenses since Q1 2020.
- Per Business Quant, the preceding three quarters came in at $178,000 (Q1 2026), $1.46 million (Q4 2025) and $1.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 839.00 Mn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 486.00 Mn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 3.09 Mn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 151.00 Mn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | -119.10 Mn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 19.20 Mn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 9.08 Mn |
| 10 | Corvex | 28.17 Mn | -27.68 Mn | 1.68 Mn | 31,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31,000.00 |
| Mar 31, 2026 | 178,000.00 |
| Dec 31, 2025 | 1.46 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Mar 31, 2021 | 883,000.00 |
| Dec 31, 2020 | 452,000.00 |
| Sep 30, 2020 | 377,000.00 |
| Jun 30, 2020 | 167,000.00 |
| Mar 31, 2020 | 8,000.00 |
API Access
Corvex Interest 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=interest-expenses&ticker=MOVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=MOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();