Q (QCLS) Return on Assets [ROA] (2014 - 2026)
Q (QCLS) recorded Return on Assets [ROA] of -29.56% in Q1 2026, up 43.49 percentage points from -73.05% a year earlier and up 0.10 percentage points from the prior quarter.
Q (QCLS) Return on Assets [ROA] (2014 - 2026) Analysis & Trends
For FY2025, Q reported Return on Assets [ROA] of -37.15%, up 81.77 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of +266.96 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -118.93% in FY2024 (-96.33 pp), -22.60% in FY2023 (+49.17 pp), -71.77% in FY2022 (+162.75 pp) and -234.52% in FY2021 (+69.60 pp).
- Quarterly Return on Assets [ROA] has ranged from -131.53% in Q1 2022 to -20.16% in Q4 2023 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has increased for five consecutive quarters, with an average year-over-year change of +5.19 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 76.75 percentage points in Q1 2023, against a drop of 82.60 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -29.66% (Q4 2025), -28.67% (Q3 2025) and -38.49% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 66.53% |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 7.14% |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 20.84% |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 51.46% |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 8.50% |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | -5.54% |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 22.11% |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 19.56% |
| 10 | Q | 2.82 Mn | 2.82 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -29.56% |
| Dec 31, 2025 | -29.66% |
| Sep 30, 2025 | -28.67% |
| Jun 30, 2025 | -38.49% |
| Mar 31, 2025 | -73.05% |
| Dec 31, 2024 | -102.76% |
| Sep 30, 2024 | -93.84% |
| Jun 30, 2024 | -86.54% |
| Mar 31, 2024 | -75.96% |
| Dec 31, 2023 | -20.16% |
| Sep 30, 2023 | -22.87% |
| Jun 30, 2023 | -48.90% |
| Mar 31, 2023 | -54.79% |
| Dec 31, 2022 | -80.47% |
| Sep 30, 2022 | -74.59% |
| Jun 30, 2022 | -79.61% |
| Mar 31, 2022 | -131.53% |
| Dec 31, 2021 | -107.08% |
| Sep 30, 2021 | -93.44% |
| Jun 30, 2021 | -87.80% |
Q 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=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();