Intelligent Bio Solutions (INBS) Depreciation & Amortization (CF) (2023 - 2026)
Intelligent Bio Solutions (INBS) reported Depreciation & Amortization (CF) of $288,180 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.0% from $300,298 a year earlier and down 0.8% from the prior quarter.
Intelligent Bio Solutions (INBS) Depreciation & Amortization (CF) (2023 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Intelligent Bio Solutions posted Depreciation & Amortization (CF) of $1.16 million, down 3.6% from FY2025.
- Depreciation & Amortization (CF) has a three-year compound annual growth rate of 12.6% (FY2023 to FY2026).
- By fiscal year, Depreciation & Amortization (CF) came in at $1.21 million in FY2025, $15,108 in FY2024 (-98.1%) and $814,481 in FY2023.
- Five-year quarterly Depreciation & Amortization (CF) spans a low of -$163,783 in fiscal Q4 2024 and a high of $369,124 in fiscal Q2 2025.
- Year over year, Depreciation & Amortization (CF) has now declined in each of the last three quarters, with growth averaging 8.2% over the last seven quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q2 2025 (growth of 59.5%); the low point was fiscal Q3 2024 (a decline of 24.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $290,393 (Q3 2026), $327,367 (Q2 2026) and $257,907 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Intelligent Bio Solutions | 2.46 Mn | -11.02 Mn | 536,583.00 | 288,180.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 288,180.00 |
| Mar 31, 2026 | 290,393.00 |
| Dec 31, 2025 | 327,367.00 |
| Sep 30, 2025 | 257,907.00 |
| Jun 30, 2025 | 300,298.00 |
| Mar 31, 2025 | 301,978.00 |
| Dec 31, 2024 | 369,124.00 |
| Sep 30, 2024 | 241,622.00 |
| Jun 30, 2024 | -163,783.00 |
| Mar 31, 2024 | 267,464.00 |
| Dec 31, 2023 | 231,446.00 |
| Sep 30, 2023 | 247,598.00 |
| Jun 30, 2023 | 111,994.00 |
| Mar 31, 2023 | 352,954.00 |
Intelligent Bio Solutions Depreciation & Amortization (CF) 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-amortization-cf&ticker=INBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "INBS", "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-amortization-cf&ticker=INBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();