Blackline (BL) Accumulated Expenses (2015 - 2026)
Blackline's Accumulated Expenses came in at $60.15 million for Q2 2026, up 4.7% from $57.45 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Blackline (BL) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Blackline's Accumulated Expenses was $76.79 million, up 7.3% from FY2024.
- Accumulated Expenses has increased in each of the last ten years, with a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $71.57 million in FY2024 (+19.9%), $59.69 million in FY2023 (+1.9%), $58.6 million in FY2022 (+15.1%) and $50.93 million in FY2021 (+41.6%).
- The five-year range for quarterly Accumulated Expenses is $38.4 million (Q1 2022) to $76.79 million (Q4 2025).
- Year-over-year, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 11.6%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 41.6%), and the weakest in Q1 2026 (a decline of 5.3%).
- Business Quant data shows BL's Accumulated Expenses at $59.42 million (Q1 2026), $76.79 million (Q4 2025) and $75.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Blackline | 1.55 Bn | -1.06 Bn | 142.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.15 Mn |
| Mar 31, 2026 | 59.42 Mn |
| Dec 31, 2025 | 76.79 Mn |
| Sep 30, 2025 | 75.62 Mn |
| Jun 30, 2025 | 57.45 Mn |
| Mar 31, 2025 | 62.76 Mn |
| Dec 31, 2024 | 71.57 Mn |
| Sep 30, 2024 | 68.44 Mn |
| Jun 30, 2024 | 51.92 Mn |
| Mar 31, 2024 | 47.13 Mn |
| Dec 31, 2023 | 59.69 Mn |
| Sep 30, 2023 | 61.35 Mn |
| Jun 30, 2023 | 45.15 Mn |
| Mar 31, 2023 | 49.03 Mn |
| Dec 31, 2022 | 58.60 Mn |
| Sep 30, 2022 | 51.14 Mn |
| Jun 30, 2022 | 40.33 Mn |
| Mar 31, 2022 | 38.40 Mn |
| Dec 31, 2021 | 50.93 Mn |
| Sep 30, 2021 | 38.87 Mn |
API Access
Blackline Accumulated Expenses 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=accumulated-expenses&ticker=BL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();