Q (QCLS) EPS (Diluted) (2015 - 2026)
Q (QCLS) reported EPS (Diluted) of -$0.19 for Q1 2026, compared with -$0.36 a year earlier.
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Analysis
Q (QCLS) EPS (Diluted) (2015 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Q's EPS (Diluted) came in at -$1.81; for FY2025, it came in at -$8.66.
- By year, EPS (Diluted) came in at -$11.15 in FY2024, -$5.33 in FY2023, -$11.74 in FY2022 and -$53.78 in FY2021.
- Five-year quarterly EPS (Diluted) spans a low of -$32.55 in Q2 2021 and a high of $0.06 in Q3 2023.
- Per Business Quant data, the three quarters before Q1 2026 came in at -$3.79 (Q4 2025), -$2.50 (Q3 2025) and -$0.18 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 4.42 |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 24.67 |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | -2.16 |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 1.81 |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 3.17 |
| 10 | Q | 5.57 Mn | 17.50 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -0.19 |
| Dec 31, 2025 | -3.79 |
| Sep 30, 2025 | -2.50 |
| Jun 30, 2025 | -0.18 |
| Mar 31, 2025 | -0.36 |
| Dec 31, 2024 | -1.29 |
| Sep 30, 2024 | -1.11 |
| Jun 30, 2024 | -4.54 |
| Mar 31, 2024 | -5.14 |
| Dec 31, 2023 | -3.17 |
| Sep 30, 2023 | 0.06 |
| Jun 30, 2023 | -0.11 |
| Mar 31, 2023 | -1.29 |
| Dec 31, 2022 | -2.89 |
| Sep 30, 2022 | -0.09 |
| Jun 30, 2022 | -0.09 |
| Mar 31, 2022 | -7.42 |
| Dec 31, 2021 | -5.83 |
| Sep 30, 2021 | -9.84 |
| Jun 30, 2021 | -32.55 |
API Access
Q EPS (Diluted) 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=eps-diluted&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();