Lifeward (LFWD) Selling, General & Administrative (2015 - 2026)
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Analysis
Lifeward (LFWD) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 2.32 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 4.27 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 2.16 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 633.40 Mn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 2.31 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 1.68 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 560.90 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Lifeward | 16.92 Mn | -8.12 Mn | 2.71 Mn | 1.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 Mn |
| Mar 31, 2026 | 2.57 Mn |
| Dec 31, 2025 | 2.28 Mn |
| Sep 30, 2025 | 1.96 Mn |
| Jun 30, 2025 | 1.74 Mn |
| Mar 31, 2025 | 2.22 Mn |
| Dec 31, 2024 | 1.77 Mn |
| Sep 30, 2024 | 240,000.00 |
| Jun 30, 2024 | 1.59 Mn |
| Mar 31, 2024 | 1.59 Mn |
| Dec 31, 2023 | 2.42 Mn |
| Sep 30, 2023 | 3.46 Mn |
| Jun 30, 2023 | 2.41 Mn |
| Mar 31, 2023 | 1.71 Mn |
| Dec 31, 2022 | 1.85 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 1.46 Mn |
| Dec 31, 2021 | 1.58 Mn |
| Sep 30, 2021 | 1.34 Mn |
API Access
Lifeward Selling, General & Administrative 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=selling-general-and-administrative&ticker=LFWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LFWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();