Blackline (BL) Return on Sales [ROS] (2015 - 2026)
Blackline (BL) reported Return on Sales [ROS] of 5.85% for Q2 2026, up 1.47 percentage points from 4.39% a year earlier and up 2.45 percentage points from the prior quarter.
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Analysis
Blackline (BL) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Blackline's Return on Sales [ROS] came in at 4.32%, up 0.51 percentage points year-over-year; for FY2025, it was 3.65%, up 0.81 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +9.30 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 2.84% in FY2024 (+0.41 pp), 2.43% in FY2023 (+13.18 pp), -10.75% in FY2022 (-1.68 pp) and -9.07% in FY2021 (-3.42 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q4 2023.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +0.91 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 22.27 percentage points); the low point was Q3 2022 (a drop of 21.39 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 3.40% (Q1 2026), 3.72% (Q4 2025) and 4.27% (Q3 2025).
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 | Blackline | 1.60 Bn | -1.01 Bn | 142.68 Mn | 5.85% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.85% |
| Mar 31, 2026 | 3.40% |
| Dec 31, 2025 | 3.72% |
| Sep 30, 2025 | 4.27% |
| Jun 30, 2025 | 4.39% |
| Mar 31, 2025 | 2.14% |
| Dec 31, 2024 | 3.67% |
| Sep 30, 2024 | 5.04% |
| Jun 30, 2024 | 1.38% |
| Mar 31, 2024 | 1.11% |
| Dec 31, 2023 | 8.23% |
| Sep 30, 2023 | -0.71% |
| Jun 30, 2023 | 12.40% |
| Mar 31, 2023 | -11.02% |
| Dec 31, 2022 | 2.34% |
| Sep 30, 2022 | -15.95% |
| Jun 30, 2022 | -9.88% |
| Mar 31, 2022 | -21.10% |
| Dec 31, 2021 | -14.04% |
| Sep 30, 2021 | 5.44% |
API Access
Blackline 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=BL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BL", "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=BL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();