Lifeward (LFWD) Total Debt (2016 - 2025)
Lifeward's Total Debt came in at $2.8 million for Q4 2025.
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Analysis
Lifeward (LFWD) Total Debt (2016 - 2025) Analysis & Trends
Going back to Q1 2016, Lifeward's Total Debt data covers 20 quarters.
- The Q4 2025 figure represents the highest quarterly Total Debt in data going back to Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 16.81 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Lifeward | 19.57 Mn | -5.47 Mn | 2.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.80 Mn |
| Sep 30, 2020 | 3.43 Mn |
| Jun 30, 2020 | 4.77 Mn |
| Mar 31, 2020 | 5.70 Mn |
| Dec 31, 2019 | 6.97 Mn |
| Sep 30, 2019 | 7.43 Mn |
| Jun 30, 2019 | 7.87 Mn |
| Mar 31, 2019 | 8.29 Mn |
| Dec 31, 2018 | 8.69 Mn |
| Sep 30, 2018 | 12.42 Mn |
| Jun 30, 2018 | 13.08 Mn |
| Mar 31, 2018 | 14.24 Mn |
| Dec 31, 2017 | 15.35 Mn |
| Sep 30, 2017 | 15.67 Mn |
| Jun 30, 2017 | 15.98 Mn |
| Mar 31, 2017 | 16.88 Mn |
| Dec 31, 2016 | 18.01 Mn |
| Sep 30, 2016 | 10.48 Mn |
| Jun 30, 2016 | 10.31 Mn |
| Mar 31, 2016 | 10.14 Mn |
API Access
Lifeward Total Debt 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=total-debt&ticker=LFWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=LFWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();