Electronic Servitor Publication Network (XESP) Shares Outstanding (2018 - 2026)
Electronic Servitor Publication Network's Shares Outstanding came in at 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 (2018 - 2026) Analysis & Trends
For FY2025, Electronic Servitor Publication Network's Shares Outstanding was 53.25 million, up 2.1% from FY2024.
- Shares Outstanding has increased in each of the last four years, with a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 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 (-4.0%).
- Year-over-year, Shares Outstanding has increased for 12 consecutive quarters, with growth averaging 36.9% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q3 2024 (growth of 143.8%), and the weakest in Q3 2021 (a decline of 31.0%).
- Business Quant data shows XESP's Shares Outstanding at 53.53 million (Q1 2026), 53.25 million (Q4 2025) and 53.32 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 2.97 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 820.00 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 | 402.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.83 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 | 17.72 Mn |
| Dec 31, 2021 | 17.72 Mn |
| Sep 30, 2021 | 12.72 Mn |
API Access
Electronic Servitor Publication Network Shares Outstanding 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&ticker=XESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=XESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();