Krystal Biotech (KRYS) Depreciation & Amortization (CF) (2016 - 2026)
Krystal Biotech's Depreciation & Amortization (CF) was $1.5 million in Q3 2026, up 7.1% from $1.4 million a year earlier and up 7.1% from the prior quarter.
Krystal Biotech (KRYS) Depreciation & Amortization (CF) (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Krystal Biotech's Depreciation & Amortization (CF) was $5.95 million through Sep 30, 2026, up 8.0% year-over-year; for FY2025, it came in at $5.72 million, down 4.6% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $6 million in FY2024 (+19.8%), $5.01 million in FY2023 (+23.5%), $4.06 million in FY2022 (+46.4%) and $2.77 million in FY2021 (+49.6%).
- Quarterly Depreciation & Amortization (CF) has moved between $705,000 (Q1 2023) and $1.8 million (Q2 2024) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for five straight quarters, with growth averaging 0.4% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q1 2024 (growth of 102.4%); the worst was Q1 2023 (a decline of 30.5%).
- Per Business Quant data, KRYS's Depreciation & Amortization (CF) in the three quarters before Q3 2026 was $1.4 million (Q2 2026), $1.52 million (Q1 2026) and $1.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.58 Bn |
| 10 | Krystal Biotech | 9.08 Bn | 5.67 Bn | 119.79 Mn | 1.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.50 Mn |
| Jun 30, 2026 | 1.40 Mn |
| Mar 31, 2026 | 1.52 Mn |
| Dec 31, 2025 | 1.52 Mn |
| Sep 30, 2025 | 1.40 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.41 Mn |
| Dec 31, 2024 | 1.40 Mn |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 1.43 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Sep 30, 2023 | 826,000.00 |
| Jun 30, 2023 | 1.04 Mn |
| Mar 31, 2023 | 705,000.00 |
| Dec 31, 2022 | 1.09 Mn |
| Sep 30, 2022 | 975,000.00 |
| Jun 30, 2022 | 976,000.00 |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 784,000.00 |
Krystal Biotech Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=KRYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();