Creditriskmonitor Com (CRMZ) Return on Sales [ROS] (2011 - 2026)
Creditriskmonitor Com's Return on Sales [ROS] came in at -12.85% for Q2 2026, down 12.68 percentage points from -0.17% a year earlier and down 8.53 percentage points from the prior quarter.
Creditriskmonitor Com (CRMZ) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Creditriskmonitor Com reported Return on Sales [ROS] of -3.34%, down 8.04 percentage points year-over-year; for FY2025, it came in at 0.40%, down 3.32 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last four years, though with a five-year change of +1.91 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 3.72% in FY2024 (-4.16 pp), 7.88% in FY2023 (-0.86 pp), 8.74% in FY2022 (-4.75 pp) and 13.49% in FY2021 (+15.00 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] in data going back to Q1 2011.
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -3.76 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 26.39 percentage points), and the weakest in Q2 2026 (a drop of 12.68 percentage points).
- Business Quant data shows CRMZ's Return on Sales [ROS] at -4.32% (Q1 2026), 3.61% (Q4 2025) and 0.32% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 396.49 Bn | 361.31 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 344.92 Bn | 217.05 Bn | - | 34.78% |
| 3 | Sap Se | 278.17 Bn | 205.57 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 176.20 Bn | 132.07 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 121.43 Bn | 108.22 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 105.87 Bn | 85.13 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 94.56 Bn | 73.91 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.61 Bn | 72.71 Bn | - | - |
| 9 | Thomson Reuters | 50.01 Bn | 45.98 Bn | - | 21.93% |
| 10 | Creditriskmonitor Com | 22.50 Mn | -42.61 Mn | - | -12.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.85% |
| Mar 31, 2026 | -4.32% |
| Dec 31, 2025 | 3.61% |
| Sep 30, 2025 | 0.32% |
| Jun 30, 2025 | -0.17% |
| Mar 31, 2025 | -2.28% |
| Dec 31, 2024 | 14.74% |
| Sep 30, 2024 | 6.28% |
| Jun 30, 2024 | -0.52% |
| Mar 31, 2024 | -0.75% |
| Dec 31, 2023 | 11.74% |
| Sep 30, 2023 | 6.39% |
| Jun 30, 2023 | 8.56% |
| Mar 31, 2023 | 4.66% |
| Dec 31, 2022 | 11.19% |
| Sep 30, 2022 | 12.58% |
| Jun 30, 2022 | 6.40% |
| Mar 31, 2022 | 4.49% |
| Dec 31, 2021 | 21.57% |
| Sep 30, 2021 | 16.29% |
Creditriskmonitor Com 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=CRMZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CRMZ", "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=CRMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();