Electronic Servitor Publication Network (XESP) Change in Accured Expenses (2018 - 2026)
Electronic Servitor Publication Network's Change in Accured Expenses was $10,122 in Q2 2026, up 61.9% from $6,251 a year earlier.
Electronic Servitor Publication Network (XESP) Change in Accured Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Electronic Servitor Publication Network's Change in Accured Expenses was $27,567 through Jun 30, 2026, up 10.3% year-over-year; for FY2025, it was $35,855, up 43.4% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -23.6% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $25,004 in FY2024 (+51.9%), $16,460 in FY2023 (-54.1%), $35,827 in FY2022 (+158.6%) and $13,853 in FY2021 (-90.0%).
- Quarterly Change in Accured Expenses has moved between -$10,592 (Q3 2021) and $72,280 (Q4 2021) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last seven quarters, with growth averaging 39.4%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2021 (growth of 754.2%); the worst was Q4 2022 (a decline of 95.3%).
- Per Business Quant data, XESP's Change in Accured Expenses in the three quarters before Q2 2026 was -$5,908 (Q1 2026), $17,102 (Q4 2025) and $6,251 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Electronic Servitor Publication Network | 3.21 Mn | 2.91 Mn | - | 10,122.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10,122.00 |
| Mar 31, 2026 | -5,908.00 |
| Dec 31, 2025 | 17,102.00 |
| Sep 30, 2025 | 6,251.00 |
| Jun 30, 2025 | 6,251.00 |
| Mar 31, 2025 | 6,251.00 |
| Dec 31, 2024 | 6,143.00 |
| Sep 30, 2024 | 6,359.00 |
| Jun 30, 2024 | 6,251.00 |
| Mar 31, 2024 | 6,251.00 |
| Dec 31, 2023 | 5,895.00 |
| Sep 30, 2023 | 4,789.00 |
| Jun 30, 2023 | 3,939.00 |
| Mar 31, 2023 | 1,837.00 |
| Dec 31, 2022 | 3,419.00 |
| Sep 30, 2022 | 5,000.00 |
| Jun 30, 2022 | 15,791.00 |
| Mar 30, 2022 | 11,617.00 |
| Dec 31, 2021 | 72,280.00 |
| Sep 30, 2021 | -10,592.00 |
Electronic Servitor Publication Network Change in Accured 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=change-in-accured-expenses&ticker=XESP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=XESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();