Blackline (BL) Selling, General & Administrative (2015 - 2026)
Blackline's Selling, General & Administrative came in at $30.79 million for Q2 2026, up 9.4% from $28.14 million a year earlier but down 7.4% from the prior quarter.
Blackline (BL) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Blackline reported Selling, General & Administrative of $126.28 million, up 7.8% year-over-year; for FY2025, it came in at $118.73 million, down 2.5% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $121.8 million in FY2024 (+70.3%), $71.53 million in FY2023 (-10.8%), $80.16 million in FY2022 (-7.3%) and $86.51 million in FY2021 (+20.8%).
- The five-year range for quarterly Selling, General & Administrative is $5.16 million (Q4 2022) to $33.24 million (Q1 2026).
- Year-over-year, Selling, General & Administrative has increased for four consecutive quarters, with growth averaging 2.8% over the last six quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2022 (growth of 172.6%), and the weakest in Q4 2022 (a decline of 80.6%).
- Business Quant data shows BL's Selling, General & Administrative at $33.24 million (Q1 2026), $33.05 million (Q4 2025) and $29.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 376.00 Mn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Blackline | 1.55 Bn | -1.06 Bn | 142.68 Mn | 30.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.79 Mn |
| Mar 31, 2026 | 33.24 Mn |
| Dec 31, 2025 | 33.05 Mn |
| Sep 30, 2025 | 29.20 Mn |
| Jun 30, 2025 | 28.14 Mn |
| Mar 31, 2025 | 28.35 Mn |
| Dec 31, 2024 | 32.48 Mn |
| Sep 30, 2024 | 28.22 Mn |
| Jun 30, 2024 | 31.05 Mn |
| Mar 31, 2024 | 30.05 Mn |
| Mar 31, 2023 | 28.98 Mn |
| Dec 31, 2022 | 5.16 Mn |
| Sep 30, 2022 | 31.00 Mn |
| Jun 30, 2022 | 14.35 Mn |
| Mar 31, 2022 | 29.65 Mn |
| Dec 31, 2021 | 26.62 Mn |
| Sep 30, 2021 | 11.37 Mn |
| Jun 30, 2021 | 20.25 Mn |
| Mar 31, 2021 | 28.27 Mn |
| Dec 31, 2020 | 20.30 Mn |
Blackline Selling, General & Administrative 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=selling-general-and-administrative&ticker=BL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();