Core Scientific (CORZ) Total Current Liabilities (2020 - 2026)
Core Scientific (CORZ) recorded Total Current Liabilities of $2.74 billion in Q2 2026, up 386.5% from $562.72 million a year earlier and up 2.9% from the prior quarter.
Core Scientific (CORZ) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Core Scientific reported Total Current Liabilities of $781.4 million, up 480.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 1712.0% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $134.56 million in FY2024 (-72.4%), $488.42 million in FY2023 (+161.5%), $186.79 million in FY2022 (-41.7%) and $320.29 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Current Liabilities rose in five of the last seven quarters, with growth averaging 312.6%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 775.5% in Q3 2025, against a decline of 75.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.66 billion (Q1 2026), $781.4 million (Q4 2025) and $669.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 168.83 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 35.91 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 2.63 Bn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 3.82 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 2.39 Bn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 20.92 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 1.90 Bn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 1.68 Bn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 2.84 Bn |
| 10 | Core Scientific | 5.28 Bn | 1.74 Bn | 70.04 Mn | 2.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.74 Bn |
| Mar 31, 2026 | 2.66 Bn |
| Dec 31, 2025 | 781.40 Mn |
| Sep 30, 2025 | 669.86 Mn |
| Jun 30, 2025 | 562.72 Mn |
| Mar 31, 2025 | 195.51 Mn |
| Dec 31, 2024 | 134.56 Mn |
| Sep 30, 2024 | 76.51 Mn |
| Jun 30, 2024 | 74.82 Mn |
| Mar 31, 2024 | 138.15 Mn |
| Dec 31, 2023 | 488.42 Mn |
| Sep 30, 2023 | 312.66 Mn |
| Jun 30, 2023 | 187.37 Mn |
| Mar 31, 2023 | 203.45 Mn |
| Dec 31, 2022 | 186.79 Mn |
| Sep 30, 2022 | 1.29 Bn |
| Jun 30, 2022 | 516.55 Mn |
| Mar 31, 2022 | 414.69 Mn |
| Dec 31, 2021 | 320.29 Mn |
| Sep 30, 2021 | 4.10 Mn |
Core Scientific Total Current Liabilities 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=total-current-liabilities&ticker=CORZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CORZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();