Lifeward (LFWD) Net Long-Term Debt Issued (Repaid) (2016 - 2026)
Lifeward (LFWD) posted Net Long-Term Debt Issued (Repaid) of $2.98 million for Q1 2026.
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Analysis
Lifeward (LFWD) Net Long-Term Debt Issued (Repaid) (2016 - 2026) Analysis & Trends
For FY2025, Lifeward's Net Long-Term Debt Issued (Repaid) came in at $1.44 million.
- The Q1 2026 figure stands as the highest quarterly Net Long-Term Debt Issued (Repaid) since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | - |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | -2.00 Bn |
| 10 | Lifeward | 16.92 Mn | -8.12 Mn | 2.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.98 Mn |
| Dec 31, 2020 | -2.98 Mn |
| Sep 30, 2020 | -1.39 Mn |
| Jun 30, 2020 | -1.33 Mn |
| Mar 31, 2020 | -1.27 Mn |
| Dec 31, 2019 | -461,000.00 |
| Sep 30, 2019 | -440,000.00 |
| Jun 30, 2019 | -420,000.00 |
| Mar 31, 2019 | -401,000.00 |
| Dec 31, 2018 | -803,000.00 |
| Sep 30, 2018 | -792,000.00 |
| Jun 30, 2018 | -1.16 Mn |
| Mar 31, 2018 | -1.12 Mn |
| Dec 31, 2017 | -355,000.00 |
| Sep 30, 2017 | -333,000.00 |
| Jun 30, 2017 | -1.25 Mn |
| Mar 31, 2017 | -1.17 Mn |
| Dec 31, 2016 | 7.13 Mn |
| Sep 30, 2016 | -1,000.00 |
| Mar 31, 2016 | 11.45 Mn |
API Access
Lifeward Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=LFWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=LFWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();