Orthopediatrics (KIDS) Change in Accrued Expenses (2016 - 2026)
Orthopediatrics' Change in Accrued Expenses came in at -$393,000 for Q3 2026, compared with -$1.72 million a year earlier.
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Analysis
Orthopediatrics (KIDS) Change in Accrued Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Orthopediatrics reported Change in Accrued Expenses of $2.27 million, up 123.2% year-over-year; for FY2025, it came in at $1.25 million, up 132.4% from FY2024.
- Going back by year, Change in Accrued Expenses was $537,000 in FY2024 (-92.2%), $6.85 million in FY2023 (+104.9%), $3.34 million in FY2022 (+205.4%) and $1.1 million in FY2021.
- The five-year range for quarterly Change in Accrued Expenses is -$5.05 million (Q1 2024) to $6.01 million (Q2 2024).
- Year-over-year, Change in Accrued Expenses increased in two of the last four quarters, with growth averaging 1.3%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2023 (growth of 194.3%), and the weakest in Q4 2024 (a decline of 93.6%).
- Business Quant data shows KIDS's Change in Accrued Expenses at $5.78 million (Q2 2026), -$3.57 million (Q1 2026) and $458,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Orthopediatrics | 874.18 Mn | 674.41 Mn | 53.98 Mn | -393,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -393,000.00 |
| Jun 30, 2026 | 5.78 Mn |
| Mar 31, 2026 | -3.57 Mn |
| Dec 31, 2025 | 458,000.00 |
| Sep 30, 2025 | -1.72 Mn |
| Jun 30, 2025 | 5.04 Mn |
| Mar 31, 2025 | -2.53 Mn |
| Dec 31, 2024 | 229,000.00 |
| Sep 30, 2024 | -651,000.00 |
| Jun 30, 2024 | 6.01 Mn |
| Mar 31, 2024 | -5.05 Mn |
| Dec 31, 2023 | 3.56 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 2.90 Mn |
| Mar 31, 2023 | -1.57 Mn |
| Dec 31, 2022 | 1.54 Mn |
| Sep 30, 2022 | 667,000.00 |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | -690,000.00 |
| Dec 31, 2021 | 1.26 Mn |
API Access
Orthopediatrics Change in Accrued 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=change-in-accured-expenses&ticker=KIDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=KIDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();