Merck (MRK) Amortizatization of Intangibles (2020 - 2026)
Merck's Amortizatization of Intangibles was $984 million in Q2 2026, up 63.7% from $601 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Merck (MRK) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Merck's Amortizatization of Intangibles was $3.51 billion through Jun 30, 2026, up 40.1% year-over-year; for FY2025, it was $2.79 billion, up 16.6% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $2.4 billion in FY2024 (+17.2%), $2.04 billion in FY2023 (-2.0%), $2.09 billion in FY2022 (+27.4%) and $1.64 billion in FY2021 (-10.0%).
- The Q2 2026 figure marks the highest quarterly Amortizatization of Intangibles in data going back to Q1 2020.
- Compared with a year earlier, Amortizatization of Intangibles has increased for three straight quarters, with growth averaging 30.6% over the last eight quarters.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q2 2026 (growth of 63.7%); the worst was Q1 2023 (a decline of 22.3%).
- Per Business Quant data, MRK's Amortizatization of Intangibles in the three quarters before Q2 2026 was $931 million (Q1 2026), $973 million (Q4 2025) and $622 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | - |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 1.70 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | 984.00 Mn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | - |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 600.00 Mn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 984.00 Mn |
| Mar 31, 2026 | 931.00 Mn |
| Dec 31, 2025 | 973.00 Mn |
| Sep 30, 2025 | 622.00 Mn |
| Jun 30, 2025 | 601.00 Mn |
| Mar 31, 2025 | 597.00 Mn |
| Dec 31, 2024 | 675.00 Mn |
| Sep 30, 2024 | 633.00 Mn |
| Jun 30, 2024 | 614.00 Mn |
| Mar 31, 2024 | 473.00 Mn |
| Dec 31, 2023 | 462.00 Mn |
| Sep 30, 2023 | 562.00 Mn |
| Jun 30, 2023 | 477.00 Mn |
| Mar 31, 2023 | 543.00 Mn |
| Dec 31, 2022 | 462.00 Mn |
| Sep 30, 2022 | 460.00 Mn |
| Jun 30, 2022 | 464.00 Mn |
| Mar 31, 2022 | 699.00 Mn |
| Dec 31, 2021 | 405.00 Mn |
| Sep 30, 2021 | 360.00 Mn |
API Access
Merck Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=MRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "MRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=MRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();