Amneal Pharmaceuticals (AMRX) Price to Book (2018 - 2026)
Amneal Pharmaceuticals' Price to Book was 167.39 in Q2 2026.
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Analysis
Amneal Pharmaceuticals (AMRX) Price to Book (2018 - 2026) Analysis & Trends
For FY2023, Price to Book at Amneal Pharmaceuticals came in at 92.96.
- In earlier years, Price to Book was 3.28 in FY2022 (-16.6%), 3.94 in FY2021 (-0.9%), 3.97 in FY2020 (-4.5%) and 4.16 in FY2019 (-7.7%).
- The Q2 2026 figure marks the highest quarterly Price to Book in data going back to Q2 2018.
- The best year-over-year quarter for Price to Book over five years was Q3 2023 (growth of 165.7%); the worst was Q1 2022 (a decline of 43.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Amneal Pharmaceuticals | 6.43 Bn | 5.71 Bn | 334.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.39 |
| Dec 31, 2023 | 92.96 |
| Sep 30, 2023 | 8.39 |
| Jun 30, 2023 | 6.30 |
| Mar 31, 2023 | 3.15 |
| Dec 31, 2022 | 3.28 |
| Sep 30, 2022 | 3.16 |
| Jun 30, 2022 | 5.58 |
| Mar 31, 2022 | 3.10 |
| Dec 31, 2021 | 3.94 |
| Sep 30, 2021 | 4.20 |
| Jun 30, 2021 | 3.95 |
| Mar 31, 2021 | 5.52 |
| Dec 31, 2020 | 3.97 |
| Sep 30, 2020 | 3.34 |
| Jun 30, 2020 | 3.84 |
| Mar 31, 2020 | 2.58 |
| Dec 31, 2019 | 4.16 |
| Sep 30, 2019 | 2.19 |
| Jun 30, 2019 | 2.86 |
API Access
Amneal Pharmaceuticals Price to Book 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=price-to-book&ticker=AMRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "AMRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();