Q (QCLS) Return on Equity [ROE] (2014 - 2026)
Q's Return on Equity [ROE] came in at -55.31% for Q1 2026, up 103.60 percentage points from -158.91% a year earlier and up 9.16 percentage points from the prior quarter.
Q (QCLS) Return on Equity [ROE] (2014 - 2026) Analysis & Trends
For FY2025, Q's Return on Equity [ROE] was -73.73%, up 137.10 percentage points from FY2024.
- Return on Equity [ROE] carries a four-year change of +251.33 percentage points (FY2021 to FY2025).
- Going back by year, Return on Equity [ROE] was -210.83% in FY2024 (-181.27 pp), -29.56% in FY2023 (+49.71 pp), -79.27% in FY2022 (+245.78 pp) and -325.06% in FY2021.
- The Q1 2026 figure represents the highest quarterly Return on Equity [ROE] since Q4 2023.
- Year-over-year, Return on Equity [ROE] has increased for four consecutive quarters, with an average year-over-year change of -1.05 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q2 2025 (a gain of 253.47 percentage points), and the weakest in Q2 2024 (a drop of 242.40 percentage points).
- Business Quant data shows QCLS's Return on Equity [ROE] at -64.47% (Q4 2025), -79.57% (Q3 2025) and -99.00% (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,412.01 Bn | 4,186.18 Bn | 72.14 Bn | 90.87% |
| 2 | Taiwan Semiconductor Manufacturing | 1,847.96 Bn | 1,472.82 Bn | 27.22 Bn | 37.29% |
| 3 | Broadcom | 1,408.78 Bn | 1,334.83 Bn | 20.46 Bn | 40.84% |
| 4 | Micron Technology | 755.30 Bn | 660.94 Bn | 47.05 Bn | 71.02% |
| 5 | Advanced Micro Devices | 674.86 Bn | 631.61 Bn | 6.20 Bn | 9.77% |
| 6 | Asml Holding | 533.58 Bn | 489.26 Bn | 5.90 Bn | - |
| 7 | Intel | 280.55 Bn | 126.62 Bn | 7.10 Bn | -10.18% |
| 8 | Texas Instruments | 258.58 Bn | 233.45 Bn | 3.89 Bn | 38.25% |
| 9 | Applied Materials | 257.37 Bn | 222.81 Bn | 4.59 Bn | 37.42% |
| 10 | Q | 2.73 Mn | 2.73 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -55.31% |
| Dec 31, 2025 | -64.47% |
| Sep 30, 2025 | -79.57% |
| Jun 30, 2025 | -99.00% |
| Mar 31, 2025 | -158.91% |
| Dec 31, 2024 | -175.85% |
| Sep 30, 2024 | -280.40% |
| Jun 30, 2024 | -352.48% |
| Mar 31, 2024 | -110.17% |
| Dec 31, 2023 | -28.70% |
| Sep 30, 2023 | -41.02% |
| Jun 30, 2023 | -110.07% |
| Mar 31, 2023 | -90.59% |
| Dec 31, 2022 | -92.04% |
| Sep 30, 2022 | -85.30% |
| Jun 30, 2022 | -92.14% |
| Mar 31, 2022 | -142.93% |
| Dec 31, 2021 | -114.18% |
| Sep 30, 2021 | -102.45% |
| Jun 30, 2021 | -271.39% |
Q Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "QCLS", "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-equity-%5Broe%5D&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();