Krystal Biotech (KRYS) Tax Provisions (2023 - 2026)
Krystal Biotech (KRYS) recorded Tax Provisions of $11.31 million in Q2 2026, up 34.0% from $8.44 million a year earlier and up 105.3% from the prior quarter.
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Analysis
Krystal Biotech (KRYS) Tax Provisions (2023 - 2026) Analysis & Trends
On a TTM basis, Krystal Biotech's Tax Provisions came in at -$14.84 million as of Jun 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 Q2 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 $5.51 million (Q1 2026), -$260,000 (Q4 2025) and -$31.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Krystal Biotech | 9.84 Bn | 6.61 Bn | 112.79 Mn | 11.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
API Access
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_KEYimport 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();