Electronic Servitor Publication Network (XESP) Shares Outstanding (Diluted) (2021 - 2026)
Electronic Servitor Publication Network (XESP) reported Shares Outstanding (Diluted) of 53.53 million for Q2 2026, up 0.6% from 53.22 million a year earlier and unchanged from the prior quarter.
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Analysis
Electronic Servitor Publication Network (XESP) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Electronic Servitor Publication Network posted Shares Outstanding (Diluted) of 53.25 million, up 2.1% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, with a four-year compound annual growth rate of 31.7% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 52.18 million in FY2024 (+141.4%), 21.61 million in FY2023 (+0.9%), 21.42 million in FY2022 (+20.9%) and 17.72 million in FY2021.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 12 quarters, with growth averaging 36.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.0% (Q1 2023) to 143.8% (Q3 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at 53.53 million (Q1 2026), 53.25 million (Q4 2025) and 53.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.00 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.84 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Electronic Servitor Publication Network | 3.21 Mn | 2.91 Mn | - | 53.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.53 Mn |
| Mar 31, 2026 | 53.53 Mn |
| Dec 31, 2025 | 53.25 Mn |
| Sep 30, 2025 | 53.32 Mn |
| Jun 30, 2025 | 53.22 Mn |
| Mar 31, 2025 | 52.92 Mn |
| Dec 31, 2024 | 52.18 Mn |
| Sep 30, 2024 | 52.33 Mn |
| Jun 30, 2024 | 52.03 Mn |
| Mar 31, 2024 | 51.73 Mn |
| Dec 31, 2023 | 21.61 Mn |
| Sep 30, 2023 | 21.46 Mn |
| Jun 30, 2023 | 21.42 Mn |
| Mar 31, 2023 | 21.42 Mn |
| Dec 31, 2022 | 21.42 Mn |
| Sep 30, 2022 | 21.42 Mn |
| Jun 30, 2022 | 21.42 Mn |
| Mar 30, 2022 | 21.42 Mn |
| Dec 31, 2021 | 17.72 Mn |
| Sep 30, 2021 | 12.72 Mn |
API Access
Electronic Servitor Publication Network 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=XESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "XESP", "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=XESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();