Core Scientific (CORZ) Other Accumulated Expenses (2021 - 2026)
Core Scientific's Other Accumulated Expenses was $17.44 million in Q2 2026, up 3.2% from $16.9 million a year earlier but down 13.6% from the prior quarter.
Core Scientific (CORZ) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Core Scientific came in at $15.78 million, down 51.4% from FY2024.
- Other Accumulated Expenses shows a four-year compound annual growth rate of 198.0% (FY2021 to FY2025).
- In earlier years, Other Accumulated Expenses was $32.49 million in FY2024 and $200,000 in FY2021.
- Quarterly Other Accumulated Expenses has moved between $148,395 (Q3 2021) and $32.49 million (Q4 2024) over five years.
- Per Business Quant data, CORZ's Other Accumulated Expenses in the three quarters before Q2 2026 was $20.2 million (Q1 2026), $15.78 million (Q4 2025) and $15.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn |
| 10 | Core Scientific | 5.26 Bn | 1.72 Bn | 70.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.44 Mn |
| Mar 31, 2026 | 20.20 Mn |
| Dec 31, 2025 | 15.78 Mn |
| Sep 30, 2025 | 15.68 Mn |
| Jun 30, 2025 | 16.90 Mn |
| Dec 31, 2024 | 32.49 Mn |
| Dec 31, 2021 | 200,000.00 |
| Sep 30, 2021 | 148,395.00 |
| Jun 30, 2021 | 98,532.00 |
| Mar 31, 2021 | 49,217.00 |
Core Scientific Other Accumulated 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=other-accumulated-expenses&ticker=CORZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=CORZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();