Electronic Servitor Publication Network (XESP) Return on Sales [ROS] (2018 - 2025)
Electronic Servitor Publication Network (XESP) recorded Return on Sales [ROS] of -1127.83% in Q3 2025, down 282.97 percentage points from -844.86% a year earlier and down 33.89 percentage points from the prior quarter.
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Analysis
Electronic Servitor Publication Network (XESP) Return on Sales [ROS] (2018 - 2025) Analysis & Trends
For FY2024, Electronic Servitor Publication Network reported Return on Sales [ROS] of -580.49%, up 774.43 percentage points from FY2023.
- Annual Return on Sales [ROS] has a five-year change of -516.62 percentage points (FY2019 to FY2024).
- Across earlier years, Return on Sales [ROS] came in at -1354.92% in FY2023 and -254.51% in FY2020 (-190.65 pp).
- The Q3 2025 figure is the lowest quarterly Return on Sales [ROS] since Q3 2023.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -113.81 percentage points over the last seven quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1290.54 percentage points in Q1 2021, against a drop of 1219.58 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -1093.93% (Q2 2025), -1103.50% (Q1 2025) and -197.60% (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 34.78% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -6,808.11% |
| 10 | Electronic Servitor Publication Network | 3.21 Mn | 2.91 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -1,127.83% |
| Jun 30, 2025 | -1,093.93% |
| Mar 31, 2025 | -1,103.50% |
| Dec 31, 2024 | -197.60% |
| Sep 30, 2024 | -844.86% |
| Jun 30, 2024 | -903.50% |
| Mar 31, 2024 | -333.63% |
| Dec 31, 2023 | -322.17% |
| Sep 30, 2023 | -1,791.55% |
| Jun 30, 2023 | -431.66% |
| Dec 31, 2022 | -169.31% |
| Sep 30, 2022 | -571.97% |
| Sep 30, 2021 | -567.30% |
| Jun 30, 2021 | 2.76% |
| Mar 31, 2021 | -29.64% |
| Dec 31, 2020 | -18.09% |
| Sep 30, 2020 | 10.16% |
| Jun 30, 2020 | -135.49% |
| Mar 31, 2020 | -1,320.18% |
| Dec 31, 2019 | -42.96% |
API Access
Electronic Servitor Publication Network Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=XESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=XESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();