Core Scientific (CORZ) Non-Current Assets (2021 - 2026)
Core Scientific (CORZ) posted Non-Current Assets of $2.81 billion for Q2 2026, up 232.6% from $845.98 million a year earlier and up 74.3% from the prior quarter.
Core Scientific (CORZ) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Core Scientific's Non-Current Assets came in at $1.45 billion, up 153.9% from FY2024.
- Annual Non-Current Assets shows a four-year compound annual growth rate of -3.6% (FY2021 to FY2025).
- In prior years, Core Scientific's Non-Current Assets was $571.98 million in FY2024 (-7.0%), $615.14 million in FY2023 (-14.9%), $722.58 million in FY2022 (-57.0%) and $1.68 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q1 2021.
- On a year-over-year basis, Non-Current Assets has increased in each of the last five quarters, with growth averaging 84.4% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2022, with growth of 449.5%; the weakest was Q1 2023, with a decline of 65.2%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $1.61 billion (Q1 2026), $1.45 billion (Q4 2025) and $1.11 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 550.67 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 123.70 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 1.70 Bn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 36.75 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 18.35 Bn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 18.20 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 680.50 Mn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 10.42 Bn |
| 10 | Core Scientific | 5.28 Bn | 1.74 Bn | 70.04 Mn | 2.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.81 Bn |
| Mar 31, 2026 | 1.61 Bn |
| Dec 31, 2025 | 1.45 Bn |
| Sep 30, 2025 | 1.11 Bn |
| Jun 30, 2025 | 845.98 Mn |
| Mar 31, 2025 | 664.88 Mn |
| Dec 31, 2024 | 571.98 Mn |
| Sep 30, 2024 | 546.73 Mn |
| Jun 30, 2024 | 546.33 Mn |
| Mar 31, 2024 | 670.65 Mn |
| Dec 31, 2023 | 615.14 Mn |
| Sep 30, 2023 | 570.74 Mn |
| Jun 30, 2023 | 639.67 Mn |
| Mar 31, 2023 | 659.82 Mn |
| Dec 31, 2022 | 722.58 Mn |
| Sep 30, 2022 | 1.19 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 1.90 Bn |
| Dec 31, 2021 | 1.68 Bn |
| Sep 30, 2021 | 345.03 Mn |
Core Scientific Non-Current Assets 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=non-current-assets&ticker=CORZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CORZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();