Bridgeline Digital (BLIN) Long-Term Debt Repayments (2010 - 2026)
Bridgeline Digital's Long-Term Debt Repayments came in at $21,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 78.1% from $96,000 a year earlier and unchanged from the prior quarter.
Bridgeline Digital (BLIN) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bridgeline Digital reported Long-Term Debt Repayments of $162,000, down 25.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $226,000, up 8.1% from FY2024.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of -21.8% (FY2021 to FY2025).
- Going back by fiscal year, Long-Term Debt Repayments was $209,000 in FY2024 (-47.6%), $399,000 in FY2023 (-34.7%), $611,000 in FY2022 (+1.3%) and $603,000 in FY2021.
- The five-year range for quarterly Long-Term Debt Repayments is $14,000 (fiscal Q4 2023) to $413,000 (fiscal Q2 2022).
- Year-over-year, Long-Term Debt Repayments increased in five of the last eight quarters, with growth averaging 4.4%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q1 2024 (growth of 82.6%), and the weakest in fiscal Q2 2024 (a decline of 92.6%).
- Business Quant data shows BLIN's Long-Term Debt Repayments at $21,000 (Q2 2026), $91,000 (Q1 2026) and $29,000 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.24 Bn | 438.19 Bn | 1.64 Bn | - |
| 2 | Oracle | 378.19 Bn | 250.33 Bn | - | 4.20 Bn |
| 3 | Sap Se | 278.06 Bn | 205.84 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 203.10 Bn | 158.97 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 163.13 Bn | 141.59 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 123.02 Bn | 105.15 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 95.08 Bn | 74.43 Bn | 3.44 Bn | - |
| 8 | Relx | 74.29 Bn | 73.39 Bn | - | - |
| 9 | Thomson Reuters | 55.19 Bn | 51.97 Bn | - | 500.00 Mn |
| 10 | Bridgeline Digital | 8.72 Mn | 2.77 Mn | 2.53 Mn | 21,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21,000.00 |
| Mar 31, 2026 | 21,000.00 |
| Dec 31, 2025 | 91,000.00 |
| Sep 30, 2025 | 29,000.00 |
| Jun 30, 2025 | 96,000.00 |
| Mar 31, 2025 | 18,000.00 |
| Dec 31, 2024 | 83,000.00 |
| Sep 30, 2024 | 20,000.00 |
| Jun 30, 2024 | 84,000.00 |
| Mar 31, 2024 | 21,000.00 |
| Dec 31, 2023 | 84,000.00 |
| Sep 30, 2023 | 14,000.00 |
| Jun 30, 2023 | 56,000.00 |
| Mar 31, 2023 | 283,000.00 |
| Dec 31, 2022 | 46,000.00 |
| Sep 30, 2022 | 56,000.00 |
| Jun 30, 2022 | 61,000.00 |
| Mar 31, 2022 | 413,000.00 |
| Dec 31, 2021 | 81,000.00 |
| Sep 30, 2021 | 109,000.00 |
Bridgeline Digital Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BLIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BLIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();