Blackline (BL) Return on Capital Employed [ROCE] (2016 - 2026)
Blackline's Return on Capital Employed [ROCE] came in at 3.08% for Q2 2026, up 0.83 percentage points from 2.25% a year earlier and up 0.69 percentage points from the prior quarter.
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Analysis
Blackline (BL) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Blackline's Return on Capital Employed [ROCE] was 2.33%, up 1.13 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last three years, with a five-year change of +4.75 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 1.20% in FY2024 (+0.16 pp), 1.04% in FY2023 (+4.75 pp), -3.71% in FY2022 (-0.34 pp) and -3.38% in FY2021 (-0.96 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2016.
- Year-over-year, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +0.70 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2023 (a gain of 5.19 percentage points), and the weakest in Q3 2022 (a drop of 2.85 percentage points).
- Business Quant data shows BL's Return on Capital Employed [ROCE] at 2.40% (Q1 2026), 2.47% (Q4 2025) and 2.27% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 9.81% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -68.70% |
| 10 | Blackline | 1.60 Bn | -1.01 Bn | 142.68 Mn | 3.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.08% |
| Mar 31, 2026 | 2.40% |
| Dec 31, 2025 | 2.47% |
| Sep 30, 2025 | 2.27% |
| Jun 30, 2025 | 2.25% |
| Mar 31, 2025 | 1.74% |
| Dec 31, 2024 | 1.39% |
| Sep 30, 2024 | 1.78% |
| Jun 30, 2024 | 1.15% |
| Mar 31, 2024 | 2.12% |
| Dec 31, 2023 | 1.01% |
| Sep 30, 2023 | 0.35% |
| Jun 30, 2023 | -0.97% |
| Mar 31, 2023 | -2.93% |
| Dec 31, 2022 | -3.64% |
| Sep 30, 2022 | -4.85% |
| Jun 30, 2022 | -3.13% |
| Mar 31, 2022 | -3.01% |
| Dec 31, 2021 | -2.64% |
| Sep 30, 2021 | -1.99% |
API Access
Blackline Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();