Kestra Medical Technologies (KMTS) Price to Book (2025 - 2026)
Kestra Medical Technologies' (KMTS) Price to Book was 6.12 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 32.9% from 4.60 a year earlier and up 31.3% from the prior quarter.
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Analysis
Kestra Medical Technologies (KMTS) Price to Book (2025 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Price to Book at Kestra Medical Technologies was 4.66, up 61.8% from FY2025.
- By fiscal year, Price to Book came in at 2.88 in FY2025.
- Five-year quarterly Price to Book spans a low of 2.88 in fiscal Q4 2025 and a high of 8.59 in fiscal Q2 2026.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 4.66 (Q4 2026), 5.00 (Q3 2026) and 8.59 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Kestra Medical Technologies | 1.61 Bn | 1.37 Bn | 17.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.12 |
| Apr 30, 2026 | 4.66 |
| Jan 31, 2026 | 5.00 |
| Oct 31, 2025 | 8.59 |
| Jul 31, 2025 | 4.60 |
| Apr 30, 2025 | 2.88 |
API Access
Kestra Medical Technologies Price to Book 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=price-to-book&ticker=KMTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "KMTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=KMTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();