Viking Global Technologies (VGTK) EPS (Diluted) (2009 - 2026)
Viking Global Technologies (VGTK) reported EPS (Diluted) of -$0.01 for Q3 2026, compared with -$0.02 a year earlier.
Viking Global Technologies (VGTK) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Viking Global Technologies' EPS (Diluted) came in at -$0.02; for FY2025, it came in at -$0.02.
- By year, EPS (Diluted) came in at -$0.35 in FY2024, -$0.22 in FY2023, -$1.60 in FY2022 and -$2.05 in FY2021.
- Five-year quarterly EPS (Diluted) spans a low of -$10.99 in Q1 2022 and a high of $7.40 in Q4 2022.
- Per Business Quant data, the three quarters before Q3 2026 came in at -$0.01 (Q2 2026), -$0.01 (Q1 2026) and $0.00 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 4.82 |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 0.77 |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 5.30 |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.08 |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 1.11 |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 1.83 |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 0.15 |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 2.40 |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 0.03 |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | -0.01 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.01 |
| Jun 30, 2026 | -0.01 |
| Mar 31, 2026 | -0.01 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | -0.02 |
| Jun 30, 2025 | 0.02 |
| Mar 31, 2025 | -0.01 |
| Dec 31, 2024 | -0.03 |
| Sep 30, 2024 | -0.15 |
| Jun 30, 2024 | -0.02 |
| Mar 31, 2024 | -0.32 |
| Dec 31, 2023 | -0.09 |
| Sep 30, 2023 | -0.10 |
| Jun 30, 2023 | -0.02 |
| Mar 31, 2023 | -0.08 |
| Dec 31, 2022 | 7.40 |
| Sep 30, 2022 | -0.05 |
| Jun 30, 2022 | 0.58 |
| Mar 31, 2022 | -10.99 |
| Dec 31, 2021 | -2.73 |
Viking Global Technologies 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=VGTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "VGTK", "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=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();