Core Scientific (CORZ) Property, Plant & Equipment (Net) (2021 - 2026)
Core Scientific's Property, Plant & Equipment (Net) came in at $1.77 billion for Q2 2026, up 153.0% from $701.29 million a year earlier and up 31.9% from the prior quarter.
Core Scientific (CORZ) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025, Core Scientific's Property, Plant & Equipment (Net) was $1.29 billion, up 198.4% from FY2024.
- Property, Plant & Equipment (Net) carries a four-year compound annual growth rate of 21.3% (FY2021 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $433.47 million in FY2024 (-26.0%), $585.43 million in FY2023 (-15.3%), $691.13 million in FY2022 (+15.7%) and $597.3 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2021.
- Year-over-year, Property, Plant & Equipment (Net) has increased for five consecutive quarters, with growth averaging 77.7% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2025 (growth of 198.4%), and the weakest in Q3 2023 (a decline of 52.7%).
- Business Quant data shows CORZ's Property, Plant & Equipment (Net) at $1.34 billion (Q1 2026), $1.29 billion (Q4 2025) and $954.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 313.08 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 5.74 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 703.21 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.22 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 13.05 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 46.74 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 227.70 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 134.89 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 2.64 Bn |
| 10 | Core Scientific | 5.26 Bn | 1.72 Bn | 70.04 Mn | 1.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Bn |
| Mar 31, 2026 | 1.34 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 954.13 Mn |
| Jun 30, 2025 | 701.29 Mn |
| Mar 31, 2025 | 522.98 Mn |
| Dec 31, 2024 | 433.47 Mn |
| Sep 30, 2024 | 453.17 Mn |
| Jun 30, 2024 | 452.73 Mn |
| Mar 31, 2024 | 575.97 Mn |
| Dec 31, 2023 | 585.43 Mn |
| Sep 30, 2023 | 547.30 Mn |
| Jun 30, 2023 | 607.89 Mn |
| Mar 31, 2023 | 628.04 Mn |
| Dec 31, 2022 | 691.13 Mn |
| Sep 30, 2022 | 1.16 Bn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 820.18 Mn |
| Dec 31, 2021 | 597.30 Mn |
Core Scientific Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CORZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CORZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=CORZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();