Krystal Biotech (KRYS) Long-Term Investments (2019 - 2026)
Krystal Biotech's Long-Term Investments came in at $282.3 million for Q3 2026, up 112.1% from $133.11 million a year earlier and up 9.7% from the prior quarter.
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Analysis
Krystal Biotech (KRYS) Long-Term Investments (2019 - 2026) Analysis & Trends
At the end of FY2025, Krystal Biotech's Long-Term Investments was $128.07 million, down 15.8% from FY2024.
- Long-Term Investments carries a four-year compound annual growth rate of 18.8% (FY2021 to FY2025).
- Going back by year, Long-Term Investments was $152.11 million in FY2024 (+145.5%), $61.95 million in FY2023, $4.62 million in FY2022 (-92.8%) and $64.37 million in FY2021.
- The Q3 2026 figure represents the highest quarterly Long-Term Investments in data going back to Q4 2019.
- Year-over-year, Long-Term Investments has increased for three consecutive quarters, with growth averaging 70.0% over the last eight quarters.
- The fastest year-over-year change in Long-Term Investments over five years came in Q3 2023 (growth of 191.1%), and the weakest in Q4 2022 (a decline of 92.8%).
- Business Quant data shows KRYS's Long-Term Investments at $257.29 million (Q2 2026), $193.49 million (Q1 2026) and $128.07 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.01 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 387.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.60 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 63.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 268.00 Mn |
| 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 | 1.45 Bn |
| 10 | Krystal Biotech | 9.08 Bn | 5.67 Bn | 119.79 Mn | 282.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 282.30 Mn |
| Jun 30, 2026 | 257.29 Mn |
| Mar 31, 2026 | 193.49 Mn |
| Dec 31, 2025 | 128.07 Mn |
| Sep 30, 2025 | 133.11 Mn |
| Jun 30, 2025 | 138.81 Mn |
| Mar 31, 2025 | 148.47 Mn |
| Dec 31, 2024 | 152.11 Mn |
| Sep 30, 2024 | 105.89 Mn |
| Jun 30, 2024 | 69.29 Mn |
| Mar 31, 2024 | 84.00 Mn |
| Dec 31, 2023 | 61.95 Mn |
| Sep 30, 2023 | 36.55 Mn |
| Jun 30, 2023 | 28.41 Mn |
| Mar 31, 2023 | 5.13 Mn |
| Dec 31, 2022 | 4.62 Mn |
| Sep 30, 2022 | 12.56 Mn |
| Jun 30, 2022 | 12.90 Mn |
| Mar 31, 2022 | 33.34 Mn |
| Dec 31, 2021 | 64.37 Mn |
API Access
Krystal Biotech Long-Term Investments 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=long-term-investments&ticker=KRYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();