Bridgeline Digital (BLIN) Depreciation and Depletion (2010 - 2026)
Bridgeline Digital (BLIN) reported Depreciation and Depletion of $11,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 26.7% from $15,000 a year earlier but up 10.0% from the prior quarter.
Bridgeline Digital (BLIN) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bridgeline Digital's Depreciation and Depletion came in at $38,000, down 48.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $62,000, down 52.3% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- By fiscal year, Depreciation and Depletion came in at $130,000 in FY2024 (-26.6%), $177,000 in FY2023 (+46.3%), $121,000 in FY2022 (+68.1%) and $72,000 in FY2021 (+18.0%).
- Five-year quarterly Depreciation and Depletion spans a low of $7,000 in fiscal Q1 2026 and a high of $59,000 in fiscal Q4 2022.
- Year over year, Depreciation and Depletion has now declined in each of the last ten quarters, with an average decline of 48.3% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q4 2022 (growth of 181.0%); the low point was fiscal Q1 2025 (a decline of 62.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $10,000 (Q2 2026), $7,000 (Q1 2026) and $10,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | - |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 3.20 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | - |
| 10 | Bridgeline Digital | 10.21 Mn | 4.26 Mn | 2.53 Mn | 11,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11,000.00 |
| Mar 31, 2026 | 10,000.00 |
| Dec 31, 2025 | 7,000.00 |
| Sep 30, 2025 | 10,000.00 |
| Jun 30, 2025 | 15,000.00 |
| Mar 31, 2025 | 20,000.00 |
| Dec 31, 2024 | 17,000.00 |
| Sep 30, 2024 | 22,000.00 |
| Jun 30, 2024 | 22,000.00 |
| Mar 31, 2024 | 41,000.00 |
| Dec 31, 2023 | 45,000.00 |
| Sep 30, 2023 | 45,000.00 |
| Jun 30, 2023 | 45,000.00 |
| Mar 31, 2023 | 45,000.00 |
| Dec 31, 2022 | 42,000.00 |
| Sep 30, 2022 | 59,000.00 |
| Jun 30, 2022 | 19,000.00 |
| Mar 31, 2022 | 20,000.00 |
| Dec 31, 2021 | 23,000.00 |
| Sep 30, 2021 | 21,000.00 |
Bridgeline Digital Depreciation and Depletion 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=depreciation-and-depletion&ticker=BLIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=BLIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();