Krystal Biotech (KRYS) Property, Plant & Equipment (Net) (2016 - 2026)
Krystal Biotech's Property, Plant & Equipment (Net) came in at $153.78 million for Q2 2026, up 2.3% from $150.39 million a year earlier and up 0.1% from the prior quarter.
Krystal Biotech (KRYS) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Krystal Biotech's Property, Plant & Equipment (Net) was $150.78 million, down 2.8% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, though with a five-year compound annual growth rate of 37.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $155.17 million in FY2024 (-3.7%), $161.2 million in FY2023 (-0.3%), $161.68 million in FY2022 (+43.9%) and $112.36 million in FY2021 (+263.9%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- Year-over-year, Property, Plant & Equipment (Net) increased in two of the last eight quarters, with an average decline of 2.9%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2021 (growth of 349.1%), and the weakest in Q1 2025 (a decline of 5.6%).
- Business Quant data shows KRYS's Property, Plant & Equipment (Net) at $153.58 million (Q1 2026), $150.78 million (Q4 2025) and $148.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Krystal Biotech | 9.54 Bn | 6.31 Bn | 112.79 Mn | 153.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.78 Mn |
| Mar 31, 2026 | 153.58 Mn |
| Dec 31, 2025 | 150.78 Mn |
| Sep 30, 2025 | 148.87 Mn |
| Jun 30, 2025 | 150.39 Mn |
| Mar 31, 2025 | 151.07 Mn |
| Dec 31, 2024 | 155.17 Mn |
| Sep 30, 2024 | 156.59 Mn |
| Jun 30, 2024 | 158.81 Mn |
| Mar 31, 2024 | 160.01 Mn |
| Dec 31, 2023 | 161.20 Mn |
| Sep 30, 2023 | 164.03 Mn |
| Jun 30, 2023 | 163.74 Mn |
| Mar 31, 2023 | 163.07 Mn |
| Dec 31, 2022 | 161.68 Mn |
| Sep 30, 2022 | 157.79 Mn |
| Jun 30, 2022 | 151.21 Mn |
| Mar 31, 2022 | 136.93 Mn |
| Dec 31, 2021 | 112.36 Mn |
| Sep 30, 2021 | 78.64 Mn |
Krystal Biotech Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=KRYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();