Krystal Biotech (KRYS) Tax Provisions (2023 - 2026)
Krystal Biotech (KRYS) recorded Tax Provisions of $17.1 million in Q3 2026, compared with -$31.4 million a year earlier and up 51.2% from the prior quarter.
Krystal Biotech (KRYS) Tax Provisions (2023 - 2026) Analysis & Trends
On a TTM basis, Krystal Biotech's Tax Provisions came in at $33.66 million as of Sep 30, 2026; for FY2025, it came in at -$15.36 million.
- Across earlier years, Tax Provisions came in at $6.2 million in FY2024 (+215.4%) and $1.97 million in FY2023.
- The Q3 2026 figure is the highest quarterly Tax Provisions in data going back to Q4 2023.
- Per Business Quant, the preceding three quarters came in at $11.31 million (Q2 2026), $5.51 million (Q1 2026) and -$260,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 1.96 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -176.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 609.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 492.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -842.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 822.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 634.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 134.00 Mn |
| 10 | Krystal Biotech | 9.08 Bn | 5.67 Bn | 119.79 Mn | 17.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.10 Mn |
| Jun 30, 2026 | 11.31 Mn |
| Mar 31, 2026 | 5.51 Mn |
| Dec 31, 2025 | -260,000.00 |
| Sep 30, 2025 | -31.40 Mn |
| Jun 30, 2025 | 8.44 Mn |
| Mar 31, 2025 | 7.90 Mn |
| Dec 31, 2024 | 3.10 Mn |
| Sep 30, 2024 | 2.60 Mn |
| Jun 30, 2024 | 477,000.00 |
| Dec 31, 2023 | 1.97 Mn |
Krystal Biotech Tax Provisions 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=tax-provisions&ticker=KRYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();