Corvex (MOVE) Price to Book (2021 - 2026)
Corvex's (MOVE) Price to Book was 0.09 for Q2 2026, down 96.3% from 2.54 a year earlier but up 179.3% from the prior quarter.
Analysis
Corvex (MOVE) Price to Book (2021 - 2026) Analysis & Trends
For FY2024, Price to Book at Corvex was 3.70, down 52.0% from FY2023.
- By year, Price to Book came in at 7.70 in FY2023 (+89.2%), 4.07 in FY2022 (+81.1%) and 2.25 in FY2021.
- Five-year quarterly Price to Book spans a low of 0.03 in Q1 2026 and a high of 8.25 in Q3 2023.
- Year over year, Price to Book gained in 1 of the last five quarters, with an average decline of 40.7%.
- The high point for year-over-year Price to Book in five years was Q1 2022 (growth of 254.9%); the low point was Q1 2026 (a decline of 98.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn |
| 10 | Corvex | 29.45 Mn | -26.40 Mn | 1.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.09 |
| Mar 31, 2026 | 0.03 |
| Jun 30, 2025 | 2.54 |
| Mar 31, 2025 | 2.93 |
| Dec 31, 2024 | 3.70 |
| Sep 30, 2024 | 2.57 |
| Jun 30, 2024 | 1.19 |
| Dec 31, 2023 | 7.70 |
| Sep 30, 2023 | 8.25 |
| Jun 30, 2023 | 3.17 |
| Mar 31, 2023 | 3.36 |
| Dec 31, 2022 | 4.07 |
| Sep 30, 2022 | 4.63 |
| Jun 30, 2022 | 2.82 |
| Mar 31, 2022 | 2.46 |
| Dec 31, 2021 | 2.25 |
| Sep 30, 2021 | 2.17 |
| Jun 30, 2021 | 2.86 |
| Mar 31, 2021 | 0.69 |
API Access
Corvex Price to Book 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=price-to-book&ticker=MOVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();