Core Scientific (CORZ) Revenue (2021 - 2026)
Core Scientific (CORZ) reported Revenue of $164.2 million for Q2 2026, up 108.8% from $78.63 million a year earlier and up 42.5% from the prior quarter.
Core Scientific (CORZ) Revenue (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Core Scientific's Revenue came in at $440.31 million, up 26.4% year-over-year; for FY2025, it came in at $319.02 million, down 37.5% from FY2024.
- Revenue has a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- By year, Revenue came in at $510.67 million in FY2024 (+1.6%), $502.4 million in FY2023 (-21.5%), $640.31 million in FY2022 (+17.6%) and $544.48 million in FY2021 (+802.7%).
- The Q2 2026 figure ranks as the highest quarterly Revenue since Q1 2024.
- Year over year, Revenue gained in two of the last eight quarters, with an average decline of 3.2%.
- The high point for year-over-year Revenue in five years was Q1 2022 (growth of 254.9%); the low point was Q4 2022 (a decline of 59.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $115.24 million (Q1 2026), $79.76 million (Q4 2025) and $81.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 90.01 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 17.16 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 696.06 Mn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 2.63 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 582.30 Mn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 2.58 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 434.60 Mn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 757.08 Mn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 1.10 Bn |
| 10 | Core Scientific | 5.28 Bn | 1.74 Bn | 70.04 Mn | 164.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164.20 Mn |
| Mar 31, 2026 | 115.24 Mn |
| Dec 31, 2025 | 79.76 Mn |
| Sep 30, 2025 | 81.10 Mn |
| Jun 30, 2025 | 78.63 Mn |
| Mar 31, 2025 | 79.53 Mn |
| Dec 31, 2024 | 94.93 Mn |
| Sep 30, 2024 | 95.35 Mn |
| Jun 30, 2024 | 141.10 Mn |
| Mar 31, 2024 | 179.29 Mn |
| Dec 31, 2023 | 141.93 Mn |
| Sep 30, 2023 | 112.90 Mn |
| Jun 30, 2023 | 126.91 Mn |
| Mar 31, 2023 | 120.66 Mn |
| Dec 31, 2022 | 121.25 Mn |
| Sep 30, 2022 | 162.57 Mn |
| Jun 30, 2022 | 163.97 Mn |
| Mar 31, 2022 | 192.52 Mn |
| Dec 31, 2021 | 301.80 Mn |
| Sep 30, 2021 | 113.14 Mn |
Core Scientific Revenue 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=revenue&ticker=CORZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CORZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();