Krystal Biotech (KRYS) Capital Expenditures (2016 - 2026)
Krystal Biotech (KRYS) posted Capital Expenditures of $3.57 million for Q2 2026, up 87.2% from $1.9 million a year earlier but down 50.1% from the prior quarter.
Krystal Biotech (KRYS) Capital Expenditures (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Krystal Biotech was $14.56 million, up 46.2% year-over-year; for FY2025, it came in at $11.95 million, up 182.0% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In prior years, Krystal Biotech's Capital Expenditures was $4.24 million in FY2024 (-64.1%), $11.8 million in FY2023 (-77.7%), $52.98 million in FY2022 (-22.5%) and $68.34 million in FY2021 (+360.4%).
- Quarterly Capital Expenditures has run from a low of $801,000 in Q4 2024 to a high of $40.88 million in Q4 2021 over five years.
- On a year-over-year basis, Capital Expenditures has increased in each of the last six quarters, with growth averaging 86.9% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2022, with growth of 595.1%; the weakest was Q3 2023, with a decline of 87.3%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $7.15 million (Q1 2026), $2.14 million (Q4 2025) and $1.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Krystal Biotech | 9.92 Bn | 6.69 Bn | 112.79 Mn | 3.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.57 Mn |
| Mar 31, 2026 | 7.15 Mn |
| Dec 31, 2025 | 2.14 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 1.90 Mn |
| Mar 31, 2025 | 6.20 Mn |
| Dec 31, 2024 | 801,000.00 |
| Sep 30, 2024 | 1.05 Mn |
| Jun 30, 2024 | 1.13 Mn |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 1.85 Mn |
| Sep 30, 2023 | 1.78 Mn |
| Jun 30, 2023 | 2.79 Mn |
| Mar 31, 2023 | 5.38 Mn |
| Dec 31, 2022 | 5.22 Mn |
| Sep 30, 2022 | 14.06 Mn |
| Jun 30, 2022 | 16.52 Mn |
| Mar 31, 2022 | 17.19 Mn |
| Dec 31, 2021 | 40.88 Mn |
| Sep 30, 2021 | 20.99 Mn |
Krystal Biotech Capital Expenditures 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=capital-expenditures&ticker=KRYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();