Orthopediatrics (KIDS) Convertible Debt (2024 - 2026)
Orthopediatrics' Convertible Debt came in at $48.8 million for Q2 2026, up 1.3% from $48.17 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Orthopediatrics (KIDS) Convertible Debt (2024 - 2026) Analysis & Trends
At the end of FY2025, Orthopediatrics' Convertible Debt was $48.49 million, up 1.2% from FY2024.
- Going back by year, Convertible Debt was $47.91 million in FY2024.
- The Q2 2026 figure represents the highest quarterly Convertible Debt in data going back to Q3 2024.
- Year-over-year, Convertible Debt has increased for four consecutive quarters, with growth averaging 1.2% over the last four quarters.
- Business Quant data shows KIDS's Convertible Debt at $48.64 million (Q1 2026), $48.49 million (Q4 2025) and $48.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Orthopediatrics | 581.46 Mn | 368.20 Mn | 52.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.80 Mn |
| Mar 31, 2026 | 48.64 Mn |
| Dec 31, 2025 | 48.49 Mn |
| Sep 30, 2025 | 48.33 Mn |
| Jun 30, 2025 | 48.17 Mn |
| Mar 31, 2025 | 48.04 Mn |
| Dec 31, 2024 | 47.91 Mn |
| Sep 30, 2024 | 47.83 Mn |
API Access
Orthopediatrics Convertible 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=convertible-debt&ticker=KIDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "KIDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=convertible-debt&ticker=KIDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();