Everforth (EFOR) Shares Outstanding (Diluted) (2009 - 2026)
Everforth (EFOR) reported Weighted Average Shares Outstanding (Diluted) of 41 million for Q3 2026, down 6.2% from 43.7 million a year earlier and unchanged from the prior quarter.
Everforth (EFOR) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Everforth posted Weighted Average Shares Outstanding (Diluted) of 43.6 million, down 4.6% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has declined for four consecutive years, with a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 45.7 million in FY2024 (-6.2%), 48.7 million in FY2023 (-5.1%), 51.3 million in FY2022 (-4.1%) and 53.5 million in FY2021 (+0.4%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 41 million in Q2 2026 and a high of 53.5 million in Q4 2021.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last 19 quarters, with an average decline of 5.4% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 0.4%); the low point was Q3 2024 (a decline of 7.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 41 million (Q2 2026), 41.4 million (Q1 2026) and 43.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 4.12 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 450.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 125.70 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 79.41 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 225.49 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 51.62 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 51.47 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 86.01 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 152.57 Mn |
| 10 | Everforth | 1.48 Bn | 873.17 Mn | 291.60 Mn | 41.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.10 Mn |
| Jun 30, 2026 | 41.00 Mn |
| Mar 31, 2026 | 41.40 Mn |
| Dec 31, 2025 | 43.60 Mn |
| Sep 30, 2025 | 43.70 Mn |
| Jun 30, 2025 | 44.00 Mn |
| Mar 31, 2025 | 44.00 Mn |
| Dec 31, 2024 | 45.70 Mn |
| Sep 30, 2024 | 45.00 Mn |
| Jun 30, 2024 | 46.10 Mn |
| Mar 31, 2024 | 46.90 Mn |
| Dec 31, 2023 | 48.70 Mn |
| Sep 30, 2023 | 48.40 Mn |
| Jun 30, 2023 | 49.20 Mn |
| Mar 31, 2023 | 49.80 Mn |
| Dec 31, 2022 | 51.30 Mn |
| Sep 30, 2022 | 50.70 Mn |
| Jun 30, 2022 | 51.60 Mn |
| Mar 31, 2022 | 52.30 Mn |
| Dec 31, 2021 | 53.50 Mn |
Everforth 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=EFOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();