Corvex (MOVE) Change in Accrued Expenses (2020 - 2026)
Corvex's Change in Accured Expenses was $819,000 in Q1 2026, up 624.8% from $113,000 a year earlier.
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Analysis
Corvex (MOVE) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
For FY2022, Change in Accured Expenses at Corvex came in at -$250,000.
- In earlier years, Change in Accured Expenses was -$162,000 in FY2021 and -$384,000 in FY2020.
- The Q1 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,959.78 Bn | 3,895.27 Bn | 62.56 Bn | - |
| 2 | International Business Machines | 231.09 Bn | 186.37 Bn | 9.71 Bn | - |
| 3 | Cloudflare | 109.27 Bn | 91.71 Bn | 557.23 Mn | 58.23 Mn |
| 4 | Equinix | 103.94 Bn | 91.83 Bn | 1.31 Bn | 168.00 Mn |
| 5 | Nebius | 33.90 Bn | 7.34 Bn | 448.70 Mn | 23.10 Mn |
| 6 | Verisign | 27.94 Bn | 25.29 Bn | 393.20 Mn | 23.30 Mn |
| 7 | CoreWeave | 26.85 Bn | 26.85 Bn | - | 309.00 Mn |
| 8 | Nutanix | 16.04 Bn | 7.73 Bn | 651.35 Mn | 97.90 Mn |
| 9 | GoDaddy | 13.84 Bn | 9.22 Bn | 843.00 Mn | - |
| 10 | Corvex | 12.43 Mn | -43.42 Mn | 1.68 Mn | 900,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 900,000.00 |
| Mar 31, 2026 | 251,000.00 |
| Dec 31, 2025 | -93,000.00 |
| Mar 31, 2025 | 113,000.00 |
| Dec 31, 2024 | 236,000.00 |
| Jun 30, 2024 | 290,000.00 |
| Mar 31, 2024 | 41,000.00 |
| Dec 31, 2023 | 298,000.00 |
| Sep 30, 2023 | 21,000.00 |
| Jun 30, 2023 | 18,000.00 |
| Mar 31, 2023 | 90,000.00 |
| Mar 31, 2022 | 1,000.00 |
| Dec 31, 2021 | -250,000.00 |
| Jun 30, 2021 | 84,000.00 |
| Mar 31, 2021 | 4,000.00 |
| Dec 31, 2020 | -251,000.00 |
| Jun 30, 2020 | 32,000.00 |
| Mar 31, 2020 | -165,000.00 |
API Access
Corvex Change in Accrued 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=change-in-accured-expenses&ticker=MOVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();