Integer Holdings (ITGR) Long-Term Debt Repayments (2009 - 2026)
Integer Holdings (ITGR) reported Long-Term Debt Repayments of $2.3 million for Q3 2026, up 46.3% from $1.57 million a year earlier and up 3.4% from the prior quarter.
Integer Holdings (ITGR) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Oct 2, 2026, Integer Holdings' Long-Term Debt Repayments came in at $18.33 million, down 97.2% year-over-year; for FY2025, it was $673.63 million.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $10.73 million in FY2024 (-97.4%), $417.12 million in FY2023, $26.09 million in FY2022 (-96.5%) and $741.96 million in FY2021 (+172.3%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $328,000 in Q4 2023 and a high of $614.86 million in Q1 2025.
- Year over year, Long-Term Debt Repayments gained in three of the last five quarters, with growth averaging 27.0%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2023 (growth of 340.1%); the low point was Q1 2026 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $2.23 million (Q2 2026), $2.03 million (Q1 2026) and $11.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 7.00 Mn |
| 10 | Integer Holdings | 4.31 Bn | 4.25 Bn | 101.56 Mn | 2.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 2.30 Mn |
| Jul 3, 2026 | 2.23 Mn |
| Apr 3, 2026 | 2.03 Mn |
| Dec 31, 2025 | 11.77 Mn |
| Sep 26, 2025 | 1.57 Mn |
| Jun 27, 2025 | 45.43 Mn |
| Mar 28, 2025 | 614.86 Mn |
| Dec 31, 2024 | 955,000.00 |
| Sep 27, 2024 | 818,000.00 |
| Jun 28, 2024 | 570,000.00 |
| Mar 29, 2024 | 8.39 Mn |
| Dec 31, 2023 | 328,000.00 |
| Sep 29, 2023 | 17.80 Mn |
| Jun 30, 2023 | 7.78 Mn |
| Mar 31, 2023 | 391.21 Mn |
| Dec 31, 2022 | 14.07 Mn |
| Sep 30, 2022 | 4.04 Mn |
| Jul 1, 2022 | 4.00 Mn |
| Apr 1, 2022 | 3.98 Mn |
| Dec 31, 2021 | 3.93 Mn |
Integer Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ITGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ITGR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=ITGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();