Orthopediatrics (KIDS) Total Liabilities (2016 - 2026)
Orthopediatrics (KIDS) recorded Total Liabilities of $167.77 million in Q2 2026, up 13.3% from $148.09 million a year earlier and up 2.6% from the prior quarter.
Orthopediatrics (KIDS) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Orthopediatrics reported Total Liabilities of $162.03 million, up 36.6% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $118.64 million in FY2024 (+92.2%), $61.72 million in FY2023 (+25.8%), $49.08 million in FY2022 (-37.8%) and $78.91 million in FY2021 (-7.9%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Liabilities has increased for 12 consecutive quarters, with growth averaging 66.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 149.0% in Q2 2025, against a decline of 47.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $163.48 million (Q1 2026), $162.03 million (Q4 2025) and $144.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Orthopediatrics | 594.26 Mn | 380.99 Mn | 52.37 Mn | 167.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.77 Mn |
| Mar 31, 2026 | 163.48 Mn |
| Dec 31, 2025 | 162.03 Mn |
| Sep 30, 2025 | 144.18 Mn |
| Jun 30, 2025 | 148.09 Mn |
| Mar 31, 2025 | 123.10 Mn |
| Dec 31, 2024 | 118.64 Mn |
| Sep 30, 2024 | 118.38 Mn |
| Jun 30, 2024 | 59.47 Mn |
| Mar 31, 2024 | 66.60 Mn |
| Dec 31, 2023 | 61.72 Mn |
| Sep 30, 2023 | 58.12 Mn |
| Jun 30, 2023 | 54.56 Mn |
| Mar 31, 2023 | 53.14 Mn |
| Dec 31, 2022 | 49.08 Mn |
| Sep 30, 2022 | 46.72 Mn |
| Jun 30, 2022 | 103.73 Mn |
| Mar 31, 2022 | 85.95 Mn |
| Dec 31, 2021 | 78.91 Mn |
| Sep 30, 2021 | 82.48 Mn |
Orthopediatrics Total Liabilities 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=total-liabilities&ticker=KIDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=KIDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();