Electronic Servitor Publication Network (XESP) Enterprise Value (2021 - 2026)
Electronic Servitor Publication Network (XESP) reported Enterprise Value of $478,566 for Q2 2026, down 1.8% from $487,315 a year earlier but up 10.0% from the prior quarter.
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Analysis
Electronic Servitor Publication Network (XESP) Enterprise Value (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Electronic Servitor Publication Network's Enterprise Value came in at $233,879, down 38.7% year-over-year; for FY2025, it came in at $416,313, down 11.7% from FY2024.
- Enterprise Value has a four-year compound annual growth rate of -53.4% (FY2021 to FY2025).
- By year, Enterprise Value came in at $471,723 in FY2024 (-89.0%), $4.29 million in FY2023 (+189.8%), $1.48 million in FY2022 (-83.3%) and $8.86 million in FY2021.
- Five-year quarterly Enterprise Value spans a low of $416,313 in Q4 2025 and a high of $11.45 million in Q2 2024.
- Year over year, Enterprise Value has now declined in each of the last seven quarters, with an average decline of 27.0% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q1 2024 (growth of 921.8%); the low point was Q2 2025 (a decline of 95.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $435,036 (Q1 2026), $416,313 (Q4 2025) and $509,804 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Electronic Servitor Publication Network | 3.21 Mn | 2.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 478,566.00 |
| Mar 31, 2026 | 435,036.00 |
| Dec 31, 2025 | 416,313.00 |
| Sep 30, 2025 | 509,804.00 |
| Jun 30, 2025 | 487,315.00 |
| Mar 31, 2025 | 478,104.00 |
| Dec 31, 2024 | 471,723.00 |
| Sep 30, 2024 | 4.71 Mn |
| Jun 30, 2024 | 11.45 Mn |
| Mar 31, 2024 | 10.85 Mn |
| Dec 31, 2023 | 4.29 Mn |
| Sep 30, 2023 | 1.71 Mn |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.48 Mn |
| Sep 30, 2022 | 3.63 Mn |
| Jun 30, 2022 | 3.19 Mn |
| Mar 30, 2022 | 6.91 Mn |
| Dec 31, 2021 | 8.86 Mn |
| Sep 30, 2021 | 4.97 Mn |
API Access
Electronic Servitor Publication Network Enterprise Value 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=enterprise-value&ticker=XESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=XESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();