Integer Holdings (ITGR) EBITDA (2009 - 2026)
Integer Holdings (ITGR) recorded EBITDA of $70.7 million in Q2 2026, down 24.3% from $93.37 million a year earlier but up 3.2% from the prior quarter.
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Analysis
Integer Holdings (ITGR) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Integer Holdings' EBITDA came in at $323.39 million as of Jul 3, 2026, down 7.5% year-over-year; for FY2025, it was $358.81 million, up 11.0% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $323.33 million in FY2024 (+19.7%), $270.22 million in FY2023 (+30.7%), $206.71 million in FY2022 (-7.7%) and $224.03 million in FY2021 (+9.4%).
- Quarterly EBITDA has ranged from $45.52 million in Q1 2022 to $93.37 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 6.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 41.2% in Q3 2023, against a decline of 24.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $68.51 million (Q1 2026), $93.09 million (Q4 2025) and $91.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 3.09 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 2.61 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 1.97 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.19 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 344.00 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 769.00 Mn |
| 10 | Integer Holdings | 4.31 Bn | 4.25 Bn | 101.56 Mn | 64.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 64.21 Mn |
| Jul 3, 2026 | 70.70 Mn |
| Apr 3, 2026 | 68.51 Mn |
| Dec 31, 2025 | 93.09 Mn |
| Sep 26, 2025 | 91.09 Mn |
| Jun 27, 2025 | 93.37 Mn |
| Mar 28, 2025 | 81.27 Mn |
| Dec 31, 2024 | 87.05 Mn |
| Sep 27, 2024 | 87.80 Mn |
| Jun 28, 2024 | 82.66 Mn |
| Mar 29, 2024 | 65.82 Mn |
| Dec 31, 2023 | 70.19 Mn |
| Sep 29, 2023 | 74.33 Mn |
| Jun 30, 2023 | 66.99 Mn |
| Mar 31, 2023 | 63.44 Mn |
| Dec 31, 2022 | 52.15 Mn |
| Sep 30, 2022 | 52.63 Mn |
| Jul 1, 2022 | 56.40 Mn |
| Apr 1, 2022 | 45.52 Mn |
| Dec 31, 2021 | 49.98 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();