Kestra Medical Technologies (KMTS) Receivables - Net (2024 - 2026)
Kestra Medical Technologies' Receivables - Net was $15.41 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 66.6% from $9.25 million a year earlier and up 5.9% from the prior quarter.
Kestra Medical Technologies (KMTS) Receivables - Net (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Receivables - Net at Kestra Medical Technologies came in at $14.54 million, up 80.0% from FY2025.
- In earlier fiscal years, Receivables - Net was $8.08 million in FY2025 (+304.5%) and $2 million in FY2024.
- The fiscal Q1 2027 figure marks the highest quarterly Receivables - Net in data going back to fiscal Q4 2024.
- Compared with a year earlier, Receivables - Net has increased for three straight quarters, with growth averaging 127.8% over the last four quarters.
- Per Business Quant data, KMTS's Receivables - Net in the three fiscal quarters before Q1 2027 was $14.54 million (Q4 2026), $12.71 million (Q3 2026) and $10.41 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Kestra Medical Technologies | 1.70 Bn | 1.45 Bn | 17.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.41 Mn |
| Apr 30, 2026 | 14.54 Mn |
| Jan 31, 2026 | 12.71 Mn |
| Oct 31, 2025 | 10.41 Mn |
| Jul 31, 2025 | 9.25 Mn |
| Apr 30, 2025 | 8.08 Mn |
| Jan 31, 2025 | 7.93 Mn |
| Apr 30, 2024 | 2.00 Mn |
Kestra Medical Technologies Receivables - Net 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=receivables-net&ticker=KMTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=KMTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();