Core Scientific (CORZ) Return on Assets [ROA] (2021 - 2026)
Core Scientific's Return on Assets [ROA] was -34.36% in Q2 2026, up 31.75 percentage points from -66.11% a year earlier and up 10.39 percentage points from the prior quarter.
Core Scientific (CORZ) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Core Scientific came in at -15.10%, up 116.33 percentage points from FY2024.
- Return on Assets [ROA] shows a four-year change of -18.97 percentage points (FY2021 to FY2025).
- In earlier years, Return on Assets [ROA] was -131.43% in FY2024 (-98.99 pp), -32.44% in FY2023 (+99.78 pp), -132.22% in FY2022 (-136.10 pp) and 3.88% in FY2021.
- Quarterly Return on Assets [ROA] has moved between -214.38% (Q1 2023) and 3.24% (Q4 2021) over five years.
- Compared with a year earlier, Return on Assets [ROA] has increased for five straight quarters, with an average year-over-year change of +12.53 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q1 2024 (a gain of 209.74 percentage points); the worst was Q1 2023 (a drop of 197.74 percentage points).
- Per Business Quant data, CORZ's Return on Assets [ROA] in the three quarters before Q2 2026 was -44.75% (Q1 2026), -12.77% (Q4 2025) and -39.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 18.42% |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 6.96% |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | -3.26% |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 3.73% |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 0.25% |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | -2.91% |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 54.84% |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | 35.49% |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 3.08% |
| 10 | Core Scientific | 5.11 Bn | 1.57 Bn | 70.04 Mn | -34.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34.36% |
| Mar 31, 2026 | -44.75% |
| Dec 31, 2025 | -12.77% |
| Sep 30, 2025 | -39.57% |
| Jun 30, 2025 | -66.11% |
| Mar 31, 2025 | -72.11% |
| Dec 31, 2024 | -125.01% |
| Sep 30, 2024 | -180.34% |
| Jun 30, 2024 | -125.60% |
| Mar 31, 2024 | -4.64% |
| Dec 31, 2023 | -34.78% |
| Sep 30, 2023 | -66.69% |
| Jun 30, 2023 | -116.39% |
| Mar 31, 2023 | -214.38% |
| Dec 31, 2022 | -194.08% |
| Sep 30, 2022 | -101.62% |
| Jun 30, 2022 | -54.20% |
| Mar 31, 2022 | -16.64% |
| Dec 31, 2021 | 3.24% |
Core Scientific Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=CORZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=CORZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();