Krystal Biotech (KRYS) Price to Earnings (2023 - 2026)
Krystal Biotech's Price to Earnings came in at 45.56 for Q2 2026, up 68.1% from 27.10 a year earlier and up 34.8% 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 Q2 2026 figure represents the highest quarterly Price to Earnings since Q4 2024.
- Year-over-year, Price to Earnings increased in 1 of the last seven quarters, with an average decline of 34.1%.
- Business Quant data shows KRYS's Price to Earnings at 33.79 (Q1 2026), 35.14 (Q4 2025) and 25.72 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Krystal Biotech | 9.54 Bn | 6.31 Bn | 112.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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();