Bridgeline Digital (BLIN) Accumulated Expenses (2009 - 2026)
Bridgeline Digital (BLIN) posted Accumulated Expenses of $950,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 20.2% from $1.19 million a year earlier but up 1.5% from the prior quarter.
Bridgeline Digital (BLIN) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Bridgeline Digital's Accumulated Expenses came in at $819,000, down 17.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior fiscal years, Bridgeline Digital's Accumulated Expenses was $988,000 in FY2024 (-0.7%), $995,000 in FY2023 (unchanged), $995,000 in FY2022 (+9.6%) and $908,000 in FY2021 (+51.6%).
- Quarterly Accumulated Expenses has run from a low of $777,000 in fiscal Q3 2022 to a high of $1.32 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with growth averaging 2.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2025, with growth of 53.5%; the weakest was fiscal Q2 2024, with a decline of 24.9%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $936,000 (Q2 2026), $1.2 million (Q1 2026) and $819,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn |
| 10 | Bridgeline Digital | 8.19 Mn | 2.24 Mn | 2.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 950,000.00 |
| Mar 31, 2026 | 936,000.00 |
| Dec 31, 2025 | 1.20 Mn |
| Sep 30, 2025 | 819,000.00 |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 1.22 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 988,000.00 |
| Jun 30, 2024 | 931,000.00 |
| Mar 31, 2024 | 796,000.00 |
| Dec 31, 2023 | 1.21 Mn |
| Sep 30, 2023 | 995,000.00 |
| Jun 30, 2023 | 862,000.00 |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.32 Mn |
| Sep 30, 2022 | 995,000.00 |
| Jun 30, 2022 | 777,000.00 |
| Mar 31, 2022 | 796,000.00 |
| Dec 31, 2021 | 1.06 Mn |
| Sep 30, 2021 | 908,000.00 |
Bridgeline Digital 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=BLIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BLIN", "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=BLIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();