Qiagen (QGEN) EBITDA (2009 - 2026)
Qiagen (QGEN) reported EBITDA of $183.55 million for the quarter ended Jun 30, 2026, up 6.7% from $172.01 million a year earlier and up 34.7% from the prior quarter.
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Analysis
Qiagen (QGEN) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qiagen's EBITDA came in at $650.98 million, down 2.4% year-over-year; for the year ended Dec 31, 2025, it came in at $662.96 million, up 37.9% from the prior year.
- EBITDA has a five-year compound annual growth rate of 0.9% (years ended Dec 2020 to Dec 2025).
- By year, EBITDA came in at $480.7 million in the year ended Dec 31, 2024 (-25.5%), $645.44 million in the year ended Dec 31, 2023 (-16.6%), $773.56 million in the year ended Dec 31, 2022 (-11.8%) and $877.31 million in the year ended Dec 31, 2021 (+38.4%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly EBITDA since the quarter ended Mar 31, 2022.
- Year over year, EBITDA gained in five of the last seven quarters, with growth averaging 0.1%.
- The high point for year-over-year EBITDA in five years was the quarter ended Sep 30, 2021 (growth of 81.2%); the low point was the quarter ended Mar 31, 2023 (a decline of 41.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $136.22 million (quarter ended Mar 31, 2026), $149.85 million (quarter ended Dec 31, 2025) and $181.36 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn | 183.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183.55 Mn |
| Mar 31, 2026 | 136.22 Mn |
| Dec 31, 2025 | 149.85 Mn |
| Sep 30, 2025 | 181.36 Mn |
| Jun 30, 2025 | 172.01 Mn |
| Mar 31, 2025 | 159.75 Mn |
| Dec 31, 2024 | 167.69 Mn |
| Sep 30, 2024 | 167.32 Mn |
| Jun 30, 2024 | -169.93 Mn |
| Mar 31, 2024 | 154.33 Mn |
| Dec 31, 2023 | 167.20 Mn |
| Sep 30, 2023 | 155.73 Mn |
| Jun 30, 2023 | 165.19 Mn |
| Mar 31, 2023 | 157.31 Mn |
| Dec 31, 2022 | 167.82 Mn |
| Sep 30, 2022 | 156.45 Mn |
| Jun 30, 2022 | 180.93 Mn |
| Mar 31, 2022 | 268.36 Mn |
| Dec 31, 2021 | 232.44 Mn |
| Sep 30, 2021 | 193.14 Mn |
API Access
Qiagen 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=QGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "QGEN", "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=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();