Orthopediatrics (KIDS) Operating Expenses (2016 - 2026)
Orthopediatrics' Operating Expenses was $56.43 million in Q2 2026, up 3.2% from $54.68 million a year earlier and up 9.1% from the prior quarter.
Orthopediatrics (KIDS) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Orthopediatrics' Operating Expenses was $216.14 million through Jun 30, 2026, up 8.5% year-over-year; for FY2025, it was $211.9 million, up 15.4% from FY2024.
- Operating Expenses has now increased for ten consecutive years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $183.61 million in FY2024 (+33.0%), $138 million in FY2023 (+18.9%), $116.06 million in FY2022 (+26.9%) and $91.43 million in FY2021 (+11.8%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q3 2016.
- Compared with a year earlier, Operating Expenses has increased for 18 straight quarters, with growth averaging 17.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2022 (growth of 48.0%); the worst was Q4 2021 (a decline of 15.1%).
- Per Business Quant data, KIDS's Operating Expenses in the three quarters before Q2 2026 was $51.73 million (Q1 2026), $53.28 million (Q4 2025) and $54.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Orthopediatrics | 581.46 Mn | 368.20 Mn | 52.37 Mn | 56.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.43 Mn |
| Mar 31, 2026 | 51.73 Mn |
| Dec 31, 2025 | 53.28 Mn |
| Sep 30, 2025 | 54.70 Mn |
| Jun 30, 2025 | 54.68 Mn |
| Mar 31, 2025 | 49.24 Mn |
| Dec 31, 2024 | 49.62 Mn |
| Sep 30, 2024 | 45.63 Mn |
| Jun 30, 2024 | 46.47 Mn |
| Mar 31, 2024 | 41.90 Mn |
| Dec 31, 2023 | 34.78 Mn |
| Sep 30, 2023 | 35.46 Mn |
| Jun 30, 2023 | 35.61 Mn |
| Mar 31, 2023 | 32.15 Mn |
| Dec 31, 2022 | 29.53 Mn |
| Sep 30, 2022 | 32.85 Mn |
| Jun 30, 2022 | 28.72 Mn |
| Mar 31, 2022 | 24.95 Mn |
| Dec 31, 2021 | 23.64 Mn |
| Sep 30, 2021 | 22.20 Mn |
Orthopediatrics Operating 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=operating-expenses&ticker=KIDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=KIDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();