Krystal Biotech (KRYS) Price to Earnings (2023 - 2026)
Krystal Biotech's Price to Earnings came in at 43.76 for Q3 2026, up 70.1% from 25.72 a year earlier but down 3.9% from the prior quarter.
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Analysis
Krystal Biotech (KRYS) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, Krystal Biotech's Price to Earnings was 35.14, down 30.6% from FY2024.
- Going back by year, Price to Earnings was 50.59 in FY2024 (-84.2%) and 320.44 in FY2023.
- The five-year range for quarterly Price to Earnings is 25.72 (Q3 2025) to 320.44 (Q4 2023).
- Year-over-year, Price to Earnings increased in two of the last eight quarters, with an average decline of 21.1%.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2026 (growth of 70.1%), and the weakest in Q4 2024 (a decline of 84.2%).
- Business Quant data shows KRYS's Price to Earnings at 45.56 (Q2 2026), 33.79 (Q1 2026) and 35.14 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Krystal Biotech | 9.08 Bn | 5.67 Bn | 119.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.76 |
| Jun 30, 2026 | 45.56 |
| Mar 31, 2026 | 33.79 |
| Dec 31, 2025 | 35.14 |
| Sep 30, 2025 | 25.72 |
| Jun 30, 2025 | 27.10 |
| Mar 31, 2025 | 42.03 |
| Dec 31, 2024 | 50.59 |
| Sep 30, 2024 | 99.95 |
| Jun 30, 2024 | 49.77 |
| Mar 31, 2024 | 88.80 |
| Dec 31, 2023 | 320.44 |
API Access
Krystal Biotech Price to Earnings 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-earnings&ticker=KRYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "KRYS", "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-earnings&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();