Krystal Biotech (KRYS) Exchange Rate Effect (2022 - 2026)
Krystal Biotech (KRYS) recorded Exchange Rate Effect of -$1.83 million in Q2 2026, compared with $1.06 million a year earlier.
Krystal Biotech (KRYS) Exchange Rate Effect (2022 - 2026) Analysis & Trends
On a TTM basis, Krystal Biotech's Exchange Rate Effect came in at -$4.11 million as of Jun 30, 2026; for FY2025, it was $286,000.
- Across earlier years, Exchange Rate Effect came in at -$458,000 in FY2024, -$156,000 in FY2023 and -$41,000 in FY2022.
- The Q2 2026 figure is the lowest quarterly Exchange Rate Effect in data going back to Q4 2022.
- Per Business Quant, the preceding three quarters came in at -$1.33 million (Q1 2026), -$637,000 (Q4 2025) and -$307,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Krystal Biotech | 9.98 Bn | 6.75 Bn | 112.79 Mn | -1.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.83 Mn |
| Mar 31, 2026 | -1.33 Mn |
| Dec 31, 2025 | -637,000.00 |
| Sep 30, 2025 | -307,000.00 |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 171,000.00 |
| Dec 31, 2024 | -594,000.00 |
| Sep 30, 2024 | 286,000.00 |
| Jun 30, 2024 | -337,000.00 |
| Mar 31, 2024 | 187,000.00 |
| Dec 31, 2023 | -140,000.00 |
| Sep 30, 2023 | 12,000.00 |
| Jun 30, 2023 | 8,000.00 |
| Mar 31, 2023 | -36,000.00 |
| Dec 31, 2022 | -41,000.00 |
Krystal Biotech Exchange Rate Effect 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=exchange-rate-effect&ticker=KRYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();