Integra Lifesciences Holdings (IART) Total Non-Current Liabilities (2009 - 2026)
Integra Lifesciences Holdings' Total Non-Current Liabilities was $2.33 billion in Q2 2026, down 2.1% from $2.38 billion a year earlier and down 0.6% from the prior quarter.
Integra Lifesciences Holdings (IART) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Integra Lifesciences Holdings came in at $2.35 billion, up 0.4% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $2.35 billion in FY2024 (+17.6%), $1.99 billion in FY2023 (+2.4%), $1.95 billion in FY2022 (-1.5%) and $1.98 billion in FY2021 (+3.3%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 4.1%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2024 (growth of 22.9%); the worst was Q1 2022 (a decline of 4.7%).
- Per Business Quant data, IART's Total Non-Current Liabilities in the three quarters before Q2 2026 was $2.34 billion (Q1 2026), $2.35 billion (Q4 2025) and $2.38 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Integra Lifesciences Holdings | 1.27 Bn | 194.86 Mn | 219.74 Mn | 2.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.33 Bn |
| Mar 31, 2026 | 2.34 Bn |
| Dec 31, 2025 | 2.35 Bn |
| Sep 30, 2025 | 2.38 Bn |
| Jun 30, 2025 | 2.38 Bn |
| Mar 31, 2025 | 2.37 Bn |
| Dec 31, 2024 | 2.35 Bn |
| Sep 30, 2024 | 2.35 Bn |
| Jun 30, 2024 | 2.39 Bn |
| Mar 31, 2024 | 2.34 Bn |
| Dec 31, 2023 | 1.99 Bn |
| Sep 30, 2023 | 2.02 Bn |
| Jun 30, 2023 | 1.94 Bn |
| Mar 31, 2023 | 1.94 Bn |
| Dec 31, 2022 | 1.95 Bn |
| Sep 30, 2022 | 2.02 Bn |
| Jun 30, 2022 | 2.01 Bn |
| Mar 31, 2022 | 1.96 Bn |
| Dec 31, 2021 | 1.98 Bn |
| Sep 30, 2021 | 2.00 Bn |
Integra Lifesciences Holdings Total Non-Current 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-non-current-liabilities&ticker=IART&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IART", "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-non-current-liabilities&ticker=IART&period=max&api_key=YOUR_API_KEY");
const data = await res.json();