Orthopediatrics (KIDS) Cash & Equivalents (2016 - 2026)
Orthopediatrics (KIDS) reported Cash & Equivalents of $17 million for Q2 2026, down 61.8% from $44.55 million a year earlier but up 39.4% from the prior quarter.
Orthopediatrics (KIDS) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Orthopediatrics posted Cash & Equivalents of $19.56 million, down 55.4% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $43.82 million in FY2024 (+41.1%), $31.06 million in FY2023 (+245.4%), $8.99 million in FY2022 (+17.7%) and $7.64 million in FY2021 (-73.4%).
- Five-year quarterly Cash & Equivalents spans a low of $6.33 million in Q3 2021 and a high of $51.05 million in Q3 2024.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with growth averaging 35.2% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2024 (growth of 379.8%); the low point was Q3 2021 (a decline of 92.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.19 million (Q1 2026), $19.56 million (Q4 2025) and $16.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Orthopediatrics | 578.59 Mn | 365.33 Mn | 52.37 Mn | 17.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.00 Mn |
| Mar 31, 2026 | 12.19 Mn |
| Dec 31, 2025 | 19.56 Mn |
| Sep 30, 2025 | 16.83 Mn |
| Jun 30, 2025 | 44.55 Mn |
| Mar 31, 2025 | 33.44 Mn |
| Dec 31, 2024 | 43.82 Mn |
| Sep 30, 2024 | 51.05 Mn |
| Jun 30, 2024 | 28.93 Mn |
| Mar 31, 2024 | 21.60 Mn |
| Dec 31, 2023 | 31.06 Mn |
| Sep 30, 2023 | 10.64 Mn |
| Jun 30, 2023 | 9.71 Mn |
| Mar 31, 2023 | 34.66 Mn |
| Dec 31, 2022 | 8.99 Mn |
| Jun 30, 2022 | 37.20 Mn |
| Mar 31, 2022 | 17.96 Mn |
| Dec 31, 2021 | 7.64 Mn |
| Sep 30, 2021 | 6.33 Mn |
| Jun 30, 2021 | 10.57 Mn |
Orthopediatrics Cash & Equivalents 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=cash-and-equivalents&ticker=KIDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=KIDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();