Integer Holdings (ITGR) EBITDA (2010 - 2026)
Integer Holdings (ITGR) recorded EBITDA of $69.07 million in Q2 2026, down 24.6% from $91.62 million a year earlier but up 3.3% from the prior quarter.
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Analysis
Integer Holdings (ITGR) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Integer Holdings' EBITDA came in at $316.87 million as of Jul 3, 2026, down 7.8% year-over-year; for FY2025, it was $351.93 million, up 10.2% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $319.27 million in FY2024 (+21.8%), $262.16 million in FY2023 (+28.1%), $204.67 million in FY2022 (-5.7%) and $217.08 million in FY2021 (+8.6%).
- Quarterly EBITDA has ranged from $45.04 million in Q1 2022 to $91.62 million in Q2 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 5.8%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 40.6% in Q3 2023, against a decline of 24.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.88 million (Q1 2026), $91.44 million (Q4 2025) and $89.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Integer Holdings | 4.29 Bn | 4.19 Bn | 112.94 Mn | 69.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 69.07 Mn |
| Apr 3, 2026 | 66.88 Mn |
| Dec 31, 2025 | 91.44 Mn |
| Sep 26, 2025 | 89.48 Mn |
| Jun 27, 2025 | 91.62 Mn |
| Mar 28, 2025 | 79.38 Mn |
| Dec 31, 2024 | 85.96 Mn |
| Sep 27, 2024 | 86.71 Mn |
| Jun 28, 2024 | 81.72 Mn |
| Mar 29, 2024 | 64.89 Mn |
| Dec 31, 2023 | 69.26 Mn |
| Sep 29, 2023 | 73.32 Mn |
| Jun 30, 2023 | 66.02 Mn |
| Mar 31, 2023 | 58.29 Mn |
| Dec 31, 2022 | 51.56 Mn |
| Sep 30, 2022 | 52.15 Mn |
| Jul 1, 2022 | 55.92 Mn |
| Apr 1, 2022 | 45.04 Mn |
| Dec 31, 2021 | 49.55 Mn |
| Oct 1, 2021 | 53.15 Mn |
API Access
Integer Holdings EBITDA 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=ebitda&ticker=ITGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ITGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();