Orthopediatrics (KIDS) Non-Current Assets (2016 - 2026)
Orthopediatrics' Non-Current Assets was $258.88 million in Q2 2026, up 5.3% from $245.9 million a year earlier and up 1.0% from the prior quarter.
Orthopediatrics (KIDS) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Orthopediatrics came in at $252.21 million, up 6.9% from FY2024.
- Non-Current Assets has now increased for six consecutive years, with a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $236.04 million in FY2024 (+11.2%), $212.25 million in FY2023 (+5.6%), $201.01 million in FY2022 (+17.8%) and $170.63 million in FY2021 (+5.3%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2016.
- Compared with a year earlier, Non-Current Assets has increased for 26 straight quarters, with growth averaging 7.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 0.4% in Q3 2023 to 22.2% in Q3 2022.
- Per Business Quant data, KIDS's Non-Current Assets in the three quarters before Q2 2026 was $256.32 million (Q1 2026), $252.21 million (Q4 2025) and $247.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Orthopediatrics | 594.26 Mn | 380.99 Mn | 52.37 Mn | 258.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 258.88 Mn |
| Mar 31, 2026 | 256.32 Mn |
| Dec 31, 2025 | 252.21 Mn |
| Sep 30, 2025 | 247.63 Mn |
| Jun 30, 2025 | 245.90 Mn |
| Mar 31, 2025 | 238.19 Mn |
| Dec 31, 2024 | 236.04 Mn |
| Sep 30, 2024 | 240.98 Mn |
| Jun 30, 2024 | 236.98 Mn |
| Mar 31, 2024 | 233.46 Mn |
| Dec 31, 2023 | 212.25 Mn |
| Sep 30, 2023 | 206.27 Mn |
| Jun 30, 2023 | 211.62 Mn |
| Mar 31, 2023 | 201.31 Mn |
| Dec 31, 2022 | 201.01 Mn |
| Sep 30, 2022 | 205.50 Mn |
| Jun 30, 2022 | 182.79 Mn |
| Mar 31, 2022 | 169.57 Mn |
| Dec 31, 2021 | 170.63 Mn |
| Sep 30, 2021 | 168.13 Mn |
Orthopediatrics Non-Current Assets 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=non-current-assets&ticker=KIDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=KIDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();