Blackline (BL) Cash & Equivalents (2015 - 2026)
Blackline (BL) posted Cash & Equivalents of $242.9 million for Q2 2026, down 47.1% from $459.14 million a year earlier but up 0.4% from the prior quarter.
Blackline (BL) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Blackline's Cash & Equivalents came in at $390.03 million, down 56.0% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In prior years, Blackline's Cash & Equivalents was $885.92 million in FY2024 (+226.8%), $271.12 million in FY2023 (+34.9%), $200.97 million in FY2022 (-62.8%) and $539.74 million in FY2021 (+46.9%).
- Quarterly Cash & Equivalents has run from a low of $190.51 million in Q3 2022 to a high of $885.92 million in Q4 2024 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last five quarters, with growth averaging 32.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2024, with growth of 226.8%; the weakest was Q2 2022, with a decline of 67.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $242.04 million (Q1 2026), $390.03 million (Q4 2025) and $419.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 36.37 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 295.17 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Blackline | 1.55 Bn | -1.06 Bn | 142.68 Mn | 242.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 242.90 Mn |
| Mar 31, 2026 | 242.04 Mn |
| Dec 31, 2025 | 390.03 Mn |
| Sep 30, 2025 | 419.90 Mn |
| Jun 30, 2025 | 459.14 Mn |
| Mar 31, 2025 | 479.54 Mn |
| Dec 31, 2024 | 885.92 Mn |
| Sep 30, 2024 | 725.27 Mn |
| Jun 30, 2024 | 616.63 Mn |
| Mar 31, 2024 | 331.40 Mn |
| Dec 31, 2023 | 271.12 Mn |
| Sep 30, 2023 | 236.25 Mn |
| Jun 30, 2023 | 204.51 Mn |
| Mar 31, 2023 | 222.56 Mn |
| Dec 31, 2022 | 200.97 Mn |
| Sep 30, 2022 | 190.51 Mn |
| Jun 30, 2022 | 208.45 Mn |
| Mar 31, 2022 | 365.52 Mn |
| Dec 31, 2021 | 539.74 Mn |
| Sep 30, 2021 | 378.98 Mn |
Blackline Cash & Equivalents 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=cash-and-equivalents&ticker=BL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();