Electronic Servitor Publication Network (XESP) Return on Assets [ROA] (2018 - 2026)
Electronic Servitor Publication Network (XESP) posted Return on Assets [ROA] of -360.15% for Q2 2026, up 943.49 percentage points from -1303.64% a year earlier but down 18.69 percentage points from the prior quarter.
Electronic Servitor Publication Network (XESP) Return on Assets [ROA] (2018 - 2026) Analysis & Trends
For FY2025, Electronic Servitor Publication Network's Return on Assets [ROA] came in at -684.44%, up 844.74 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +2263.79 percentage points (FY2020 to FY2025).
- In prior years, Electronic Servitor Publication Network's Return on Assets [ROA] was -1529.18% in FY2024 (+2116.21 pp) and -3645.39% in FY2023.
- Quarterly Return on Assets [ROA] has run from a low of -20920.46% in Q3 2024 to a high of -284.33% in Q3 2021 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last four quarters, with an average year-over-year change of +409.18 percentage points over the last six quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q3 2025, with a gain of 19088.26 percentage points; the weakest was Q3 2024, with a drop of 19174.04 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -341.46% (Q1 2026), -822.24% (Q4 2025) and -1832.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 29.40% |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 6.70% |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 11.18% |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 8.95% |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 7.15% |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 3.74% |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | -21.07% |
| 10 | Electronic Servitor Publication Network | 3.25 Mn | 2.95 Mn | - | -488.64% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -488.64% |
| Jun 30, 2026 | -360.15% |
| Mar 31, 2026 | -341.46% |
| Dec 31, 2025 | -822.24% |
| Sep 30, 2025 | -1,832.19% |
| Jun 30, 2025 | -1,303.64% |
| Mar 31, 2025 | -1,195.33% |
| Dec 31, 2024 | -2,224.15% |
| Sep 30, 2024 | -20,920.46% |
| Jun 30, 2024 | -9,330.14% |
| Mar 31, 2024 | -3,433.47% |
| Dec 31, 2023 | -1,565.73% |
| Sep 30, 2023 | -1,746.42% |
| Jun 30, 2023 | -3,151.33% |
| Mar 31, 2023 | -3,944.32% |
| Dec 31, 2022 | -3,479.46% |
| Sep 30, 2022 | -18,989.47% |
| Sep 30, 2021 | -136.12% |
| Jun 30, 2021 | 10.26% |
| Mar 31, 2021 | -22.30% |
Electronic Servitor Publication Network Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=XESP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=XESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();