Core Scientific (CORZ) Return on Sales [ROS] (2021 - 2026)
Core Scientific's Return on Sales [ROS] came in at -47.79% for Q2 2026, down 14.36 percentage points from -33.43% a year earlier but up 221.57 percentage points from the prior quarter.
Core Scientific (CORZ) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Core Scientific reported Return on Sales [ROS] of -127.45%, down 75.81 percentage points year-over-year; for FY2025, it came in at -76.98%, down 49.16 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -66.49 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -27.82% in FY2024 (-29.60 pp), 1.78% in FY2023 (+331.24 pp), -329.46% in FY2022 (-353.61 pp) and 24.15% in FY2021 (+34.64 pp).
- The five-year range for quarterly Return on Sales [ROS] is -637.54% (Q2 2022) to 33.85% (Q4 2021).
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -61.33 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 645.00 percentage points), and the weakest in Q2 2022 (a drop of 658.16 percentage points).
- Business Quant data shows CORZ's Return on Sales [ROS] at -269.36% (Q1 2026), -147.28% (Q4 2025) and -67.56% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 9.24% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 7.30% |
| 10 | Core Scientific | 5.26 Bn | 1.72 Bn | 70.04 Mn | -47.79% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -47.79% |
| Mar 31, 2026 | -269.36% |
| Dec 31, 2025 | -147.28% |
| Sep 30, 2025 | -67.56% |
| Jun 30, 2025 | -33.43% |
| Mar 31, 2025 | -59.15% |
| Dec 31, 2024 | -68.89% |
| Sep 30, 2024 | -43.23% |
| Jun 30, 2024 | -64.27% |
| Mar 31, 2024 | 30.80% |
| Dec 31, 2023 | 2.77% |
| Sep 30, 2023 | -10.67% |
| Jun 30, 2023 | 7.46% |
| Mar 31, 2023 | 6.30% |
| Dec 31, 2022 | -524.60% |
| Sep 30, 2022 | -246.89% |
| Jun 30, 2022 | -637.54% |
| Mar 31, 2022 | -13.88% |
| Dec 31, 2021 | 33.85% |
| Sep 30, 2021 | 4.23% |
Core Scientific Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=CORZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=CORZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();