Everforth (EFOR) Shares Outstanding (Entity) (2010 - 2026)
Everforth's Shares Outstanding (Entity) came in at 40.9 million for Q2 2026, down 6.6% from 43.8 million a year earlier and down 0.2% from the prior quarter.
Everforth (EFOR) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Everforth's Shares Outstanding (Entity) was 41.3 million, down 5.7% from FY2024.
- Shares Outstanding (Entity) has declined in each of the last five years, with a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 43.8 million in FY2024 (-6.2%), 46.7 million in FY2023 (-5.7%), 49.5 million in FY2022 (-4.4%) and 51.8 million in FY2021 (-2.1%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Entity) since Q1 2012.
- Year-over-year, Shares Outstanding (Entity) has declined for 20 consecutive quarters, with an average decline of 5.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Entity) ran from 0.9% in Q3 2021 to 7.0% in Q2 2024.
- Business Quant data shows EFOR's Shares Outstanding (Entity) at 41 million (Q1 2026), 41.3 million (Q4 2025) and 43.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 452.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 79.96 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 125.30 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 50.91 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 82.07 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 235.37 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 51.59 Mn |
| 10 | Everforth | 1.34 Bn | 760.59 Mn | 284.60 Mn | 40.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.90 Mn |
| Mar 31, 2026 | 41.00 Mn |
| Dec 31, 2025 | 41.30 Mn |
| Sep 30, 2025 | 43.10 Mn |
| Jun 30, 2025 | 43.80 Mn |
| Mar 31, 2025 | 43.90 Mn |
| Dec 31, 2024 | 43.80 Mn |
| Sep 30, 2024 | 44.20 Mn |
| Jun 30, 2024 | 45.10 Mn |
| Mar 31, 2024 | 46.20 Mn |
| Dec 31, 2023 | 46.70 Mn |
| Sep 30, 2023 | 47.50 Mn |
| Jun 30, 2023 | 48.50 Mn |
| Mar 31, 2023 | 49.20 Mn |
| Dec 31, 2022 | 49.50 Mn |
| Sep 30, 2022 | 50.00 Mn |
| Jun 30, 2022 | 50.40 Mn |
| Mar 31, 2022 | 51.30 Mn |
| Dec 31, 2021 | 51.80 Mn |
| Sep 30, 2021 | 52.30 Mn |
Everforth Shares Outstanding (Entity) 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-entity&ticker=EFOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "EFOR", "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-entity&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();