FiEE (FIEE) Shares Outstanding (Diluted) (2010 - 2026)
FiEE (FIEE) recorded Shares Outstanding (Diluted) of 10.79 million in Q2 2026, up 111.9% from 5.09 million a year earlier and up 3.3% from the prior quarter.
FiEE (FIEE) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, FiEE reported Shares Outstanding (Diluted) of 7.08 million, up 124.1% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three straight years, though with a five-year compound annual growth rate of -22.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 3.16 million in FY2024 (+62.7%), 1.94 million in FY2023 (+4.6%), 1.86 million in FY2022 (-95.3%) and 39.76 million in FY2021 (+57.2%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q4 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 14 consecutive quarters, with growth averaging 95.8% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 181.1% in Q1 2026, against a decline of 95.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.44 million (Q1 2026), 7.08 million (Q4 2025) and 6.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 4.12 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 466.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 79.76 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 127.40 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 225.49 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 51.87 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 83.42 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 232.23 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 52.27 Mn |
| 10 | FiEE | 31.13 Mn | 12.08 Mn | 3.87 Mn | 10.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.79 Mn |
| Mar 31, 2026 | 10.44 Mn |
| Dec 31, 2025 | 7.08 Mn |
| Sep 30, 2025 | 6.30 Mn |
| Jun 30, 2025 | 5.09 Mn |
| Mar 31, 2025 | 3.71 Mn |
| Dec 31, 2024 | 3.16 Mn |
| Sep 30, 2024 | 2.87 Mn |
| Jun 30, 2024 | 2.81 Mn |
| Mar 31, 2024 | 2.77 Mn |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 1.89 Mn |
| Jun 30, 2023 | 1.89 Mn |
| Mar 31, 2023 | 1.88 Mn |
| Dec 31, 2022 | 1.86 Mn |
| Sep 30, 2022 | 1.86 Mn |
| Jun 30, 2022 | 1.85 Mn |
| Mar 31, 2022 | 1.84 Mn |
| Dec 31, 2021 | 39.76 Mn |
| Sep 30, 2021 | 43.44 Mn |
FiEE Shares Outstanding (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=shares-outstanding-diluted&ticker=FIEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "FIEE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=FIEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();