Taiwan Semiconductor Manufacturing (TSM) EPS (Diluted) (2009 - 2026)
Taiwan Semiconductor Manufacturing's EPS (Diluted) was $4.31 in Q2 2026, up 72.9% from $2.49 a year earlier and up 23.4% from the prior quarter.
Taiwan Semiconductor Manufacturing (TSM) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Taiwan Semiconductor Manufacturing's EPS (Diluted) was $15.16 through Jun 30, 2026, up 80.8% year-over-year; for FY2025, it came in at $10.09, up 44.7% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- In earlier years, EPS (Diluted) was $6.97 in FY2024 (+31.2%), $5.31 in FY2023 (-14.7%), $6.23 in FY2022 (+54.1%) and $4.04 in FY2021 (+15.3%).
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- Compared with a year earlier, EPS (Diluted) has increased for ten straight quarters, with growth averaging 64.8% over the last eight quarters.
- The best year-over-year quarter for EPS (Diluted) over five years was Q4 2025 (growth of 96.0%); the worst was Q3 2023 (a decline of 28.0%).
- Per Business Quant data, TSM's EPS (Diluted) in the three quarters before Q2 2026 was $3.49 (Q1 2026), $3.83 (Q4 2025) and $3.53 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,327.95 Bn | 4,102.11 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,021.32 Bn | 1,646.18 Bn | 27.22 Bn | 4.31 |
| 3 | Broadcom | 1,522.98 Bn | 1,449.02 Bn | 20.46 Bn | 2.68 |
| 4 | Advanced Micro Devices | 833.00 Bn | 781.21 Bn | 7.21 Bn | 1.46 |
| 5 | Micron Technology | 825.21 Bn | 730.84 Bn | 47.05 Bn | 32.98 |
| 6 | Asml Holding | 588.40 Bn | 544.09 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 311.39 Bn | 157.45 Bn | 7.10 Bn | 0.63 |
| 8 | Applied Materials | 294.37 Bn | 259.81 Bn | 4.59 Bn | 3.17 |
| 9 | Lam Research | 277.05 Bn | 253.10 Bn | 4.30 Bn | 2.19 |
| 10 | Texas Instruments | 270.72 Bn | 245.59 Bn | 3.89 Bn | 2.62 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.31 |
| Mar 31, 2026 | 3.49 |
| Dec 31, 2025 | 3.83 |
| Sep 30, 2025 | 3.53 |
| Jun 30, 2025 | 2.49 |
| Mar 31, 2025 | 2.12 |
| Dec 31, 2024 | 1.95 |
| Sep 30, 2024 | 1.82 |
| Jun 30, 2024 | 1.48 |
| Mar 31, 2024 | 1.38 |
| Dec 31, 2023 | 1.53 |
| Sep 30, 2023 | 1.29 |
| Jun 30, 2023 | 1.30 |
| Mar 31, 2023 | 1.31 |
| Dec 31, 2022 | 1.68 |
| Sep 30, 2022 | 1.79 |
| Jun 30, 2022 | 1.56 |
| Mar 31, 2022 | 1.40 |
| Dec 31, 2021 | 1.12 |
| Sep 30, 2021 | 1.08 |
Taiwan Semiconductor Manufacturing 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=TSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "TSM", "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=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();