Integra Lifesciences Holdings (IART) Receivables (2009 - 2026)
Integra Lifesciences Holdings (IART) recorded Receivables of $267.19 million in Q2 2026, down 6.1% from $284.51 million a year earlier but up 1.0% from the prior quarter.
Integra Lifesciences Holdings (IART) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Integra Lifesciences Holdings reported Receivables of $278.85 million, up 2.4% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $272.37 million in FY2024 (+5.0%), $259.33 million in FY2023 (-1.6%), $263.47 million in FY2022 (+13.6%) and $231.83 million in FY2021 (+2.8%).
- Quarterly Receivables has ranged from $222.23 million in Q3 2021 to $284.51 million in Q2 2025 over the past five years.
- On a year-over-year basis, Receivables rose in six of the last eight quarters, with growth averaging 2.3%.
- Peak year-over-year performance for Receivables in the last five years was growth of 13.6% in Q4 2022, against a decline of 6.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $264.41 million (Q1 2026), $278.85 million (Q4 2025) and $262.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Integra Lifesciences Holdings | 1.27 Bn | 194.09 Mn | 219.74 Mn | 267.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 267.19 Mn |
| Mar 31, 2026 | 264.41 Mn |
| Dec 31, 2025 | 278.85 Mn |
| Sep 30, 2025 | 262.16 Mn |
| Jun 30, 2025 | 284.51 Mn |
| Mar 31, 2025 | 252.45 Mn |
| Dec 31, 2024 | 272.37 Mn |
| Sep 30, 2024 | 248.30 Mn |
| Jun 30, 2024 | 271.16 Mn |
| Mar 31, 2024 | 241.09 Mn |
| Dec 31, 2023 | 259.33 Mn |
| Sep 30, 2023 | 256.27 Mn |
| Jun 30, 2023 | 258.66 Mn |
| Mar 31, 2023 | 254.00 Mn |
| Dec 31, 2022 | 263.47 Mn |
| Sep 30, 2022 | 248.27 Mn |
| Jun 30, 2022 | 237.36 Mn |
| Mar 31, 2022 | 234.01 Mn |
| Dec 31, 2021 | 231.83 Mn |
| Sep 30, 2021 | 222.23 Mn |
Integra Lifesciences Holdings Receivables 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=receivables&ticker=IART&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=IART&period=max&api_key=YOUR_API_KEY");
const data = await res.json();