Blackline (BL) Research & Development (2015 - 2026)
Blackline (BL) posted Research & Development of $31.29 million for Q2 2026, up 11.9% from $27.96 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Blackline (BL) Research & Development (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Blackline was $117.37 million, up 12.9% year-over-year; for FY2025, it was $109.2 million, up 8.1% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In prior years, Blackline's Research & Development was $100.97 million in FY2024 (-2.2%), $103.21 million in FY2023 (-5.2%), $108.89 million in FY2022 (+40.8%) and $77.32 million in FY2021 (+36.9%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q3 2015.
- On a year-over-year basis, Research & Development has increased in each of the last seven quarters, with growth averaging 8.5% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q2 2022, with growth of 48.5%; the weakest was Q4 2023, with a decline of 19.4%.
- According to Business Quant data, Research & Development for the three prior quarters was $30.56 million (Q1 2026), $28.18 million (Q4 2025) and $27.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Blackline | 1.55 Bn | -1.06 Bn | 142.68 Mn | 31.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.29 Mn |
| Mar 31, 2026 | 30.56 Mn |
| Dec 31, 2025 | 28.18 Mn |
| Sep 30, 2025 | 27.33 Mn |
| Jun 30, 2025 | 27.96 Mn |
| Mar 31, 2025 | 25.73 Mn |
| Dec 31, 2024 | 24.59 Mn |
| Sep 30, 2024 | 25.65 Mn |
| Jun 30, 2024 | 25.72 Mn |
| Mar 31, 2024 | 25.02 Mn |
| Dec 31, 2023 | 22.58 Mn |
| Sep 30, 2023 | 26.72 Mn |
| Jun 30, 2023 | 26.80 Mn |
| Mar 31, 2023 | 27.11 Mn |
| Dec 31, 2022 | 28.02 Mn |
| Sep 30, 2022 | 27.72 Mn |
| Jun 30, 2022 | 27.90 Mn |
| Mar 31, 2022 | 25.25 Mn |
| Dec 31, 2021 | 20.71 Mn |
| Sep 30, 2021 | 18.84 Mn |
API Access
Blackline Research & Development 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=research-and-development&ticker=BL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();