Orthopediatrics (KIDS) Interest Expenses (2016 - 2026)
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Analysis
Orthopediatrics (KIDS) Interest Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -417.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Orthopediatrics | 874.18 Mn | 674.41 Mn | 53.98 Mn | 2.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.62 Mn |
| Jun 30, 2026 | 2.53 Mn |
| Mar 31, 2026 | 2.10 Mn |
| Dec 31, 2025 | 1.93 Mn |
| Sep 30, 2025 | 1.82 Mn |
| Jun 30, 2025 | 1.12 Mn |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 1.32 Mn |
| Sep 30, 2024 | 404,000.00 |
| Jun 30, 2024 | 261,000.00 |
| Mar 31, 2024 | 637,000.00 |
| Dec 31, 2023 | -303,000.00 |
| Sep 30, 2023 | 21,000.00 |
| Jun 30, 2023 | 294,000.00 |
| Mar 31, 2023 | -210,000.00 |
| Dec 31, 2022 | -61,000.00 |
| Sep 30, 2022 | 708,000.00 |
| Jun 30, 2022 | 1.21 Mn |
| Mar 31, 2022 | 566,000.00 |
| Dec 31, 2021 | 396,000.00 |
API Access
Orthopediatrics Interest Expenses 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=interest-expenses&ticker=KIDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=KIDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();