Lifeward (LFWD) Amortizatization of Intangibles (2023 - 2026)
Lifeward (LFWD) recorded Amortizatization of Intangibles of -$4.85 million in Q2 2026.
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Analysis
Lifeward (LFWD) Amortizatization of Intangibles (2023 - 2026) Analysis & Trends
On a TTM basis, Lifeward's Amortizatization of Intangibles came in at $93,000 as of Jun 30, 2026, down 94.5% year-over-year; for FY2024, it came in at $3.35 million, up 108.1% from FY2023.
- Across earlier years, Amortizatization of Intangibles came in at $1.61 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Amortizatization of Intangibles in data going back to Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Lifeward | 16.55 Mn | -8.49 Mn | 2.71 Mn | -4.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.85 Mn |
| Mar 31, 2026 | 4.95 Mn |
| Dec 31, 2024 | 842,000.00 |
| Sep 30, 2024 | 842,000.00 |
| Jun 30, 2024 | 832,000.00 |
| Mar 31, 2024 | 831,000.00 |
| Dec 31, 2023 | 844,000.00 |
| Sep 30, 2023 | 764,000.00 |
API Access
Lifeward Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=LFWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "LFWD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=LFWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();