Electronic Servitor Publication Network (XESP) Operating Expenses (2018 - 2026)
Electronic Servitor Publication Network's Operating Expenses came in at $77,472 for Q2 2026, down 53.6% from $167,058 a year earlier but up 80.3% from the prior quarter.
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Analysis
Electronic Servitor Publication Network (XESP) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Electronic Servitor Publication Network reported Operating Expenses of $457,993, down 30.3% year-over-year; for FY2025, it came in at $668,829, down 6.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -27.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $714,512 in FY2024 (-18.1%), $872,950 in FY2023 (+97.5%), $441,961 in FY2022 (-82.6%) and $2.54 million in FY2021 (-22.4%).
- The five-year range for quarterly Operating Expenses is $42,978 (Q1 2026) to $2.21 million (Q4 2021).
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with an average decline of 6.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 404.1%), and the weakest in Q4 2022 (a decline of 95.8%).
- Business Quant data shows XESP's Operating Expenses at $42,978 (Q1 2026), $157,207 (Q4 2025) and $180,336 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Electronic Servitor Publication Network | 3.21 Mn | 2.91 Mn | - | 77,472.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77,472.00 |
| Mar 31, 2026 | 42,978.00 |
| Dec 31, 2025 | 157,207.00 |
| Sep 30, 2025 | 180,336.00 |
| Jun 30, 2025 | 167,058.00 |
| Mar 31, 2025 | 164,228.00 |
| Dec 31, 2024 | 163,682.00 |
| Sep 30, 2024 | 161,694.00 |
| Jun 30, 2024 | 172,319.00 |
| Mar 31, 2024 | 216,817.00 |
| Dec 31, 2023 | 63,326.00 |
| Sep 30, 2023 | 425,599.00 |
| Jun 30, 2023 | 119,624.00 |
| Mar 31, 2023 | 264,401.00 |
| Dec 31, 2022 | 92,688.00 |
| Sep 30, 2022 | 84,427.00 |
| Jun 30, 2022 | 140,752.00 |
| Mar 30, 2022 | 124,094.00 |
| Dec 31, 2021 | 2.21 Mn |
| Sep 30, 2021 | 95,642.00 |
API Access
Electronic Servitor Publication Network Operating Expenses 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=operating-expenses&ticker=XESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=XESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();