Krystal Biotech (KRYS) EV to CFO (2024 - 2026)
Krystal Biotech's EV to CFO came in at 37.29 for Q2 2026, up 121.2% from 16.86 a year earlier and up 37.6% from the prior quarter.
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Analysis
Krystal Biotech (KRYS) EV to CFO (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Krystal Biotech reported EV to CFO of 28.54, up 273.8% year-over-year; for FY2025, it was 31.71, unchanged from FY2024.
- Going back by year, EV to CFO was 31.71 in FY2024.
- The Q2 2026 figure represents the highest quarterly EV to CFO since Q3 2024.
- Year-over-year, EV to CFO increased in 1 of the last four quarters, with growth averaging 9.2%.
- Business Quant data shows KRYS's EV to CFO at 27.09 (Q1 2026), 31.71 (Q4 2025) and 24.89 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Krystal Biotech | 9.92 Bn | 6.69 Bn | 112.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.29 |
| Mar 31, 2026 | 27.09 |
| Dec 31, 2025 | 31.71 |
| Sep 30, 2025 | 24.89 |
| Jun 30, 2025 | 16.86 |
| Mar 31, 2025 | 33.17 |
| Dec 31, 2024 | 31.71 |
| Sep 30, 2024 | 73.35 |
API Access
Krystal Biotech EV to CFO 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=ev-to-cfo&ticker=KRYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();