Krystal Biotech (KRYS) Return on Capital Employed [ROCE] (2017 - 2026)
Krystal Biotech's Return on Capital Employed [ROCE] came in at 14.97% for Q2 2026, up 1.28 percentage points from 13.68% a year earlier and up 0.75 percentage points from the prior quarter.
Krystal Biotech (KRYS) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Krystal Biotech's Return on Capital Employed [ROCE] was 14.77%, up 6.90 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last three years, with a five-year change of +28.27 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 7.87% in FY2024 (+24.60 pp), -16.73% in FY2023 (+9.04 pp), -25.77% in FY2022 (-10.35 pp) and -15.42% in FY2021 (-1.92 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2017.
- Year-over-year, Return on Capital Employed [ROCE] has increased for 12 consecutive quarters, with an average year-over-year change of +12.92 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2024 (a gain of 24.01 percentage points), and the weakest in Q4 2022 (a drop of 13.65 percentage points).
- Business Quant data shows KRYS's Return on Capital Employed [ROCE] at 14.21% (Q1 2026), 13.62% (Q4 2025) and 14.43% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Krystal Biotech | 9.54 Bn | 6.31 Bn | 112.79 Mn | 14.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.97% |
| Mar 31, 2026 | 14.21% |
| Dec 31, 2025 | 13.62% |
| Sep 30, 2025 | 14.43% |
| Jun 30, 2025 | 13.68% |
| Mar 31, 2025 | 11.02% |
| Dec 31, 2024 | 7.17% |
| Sep 30, 2024 | 3.21% |
| Jun 30, 2024 | -2.56% |
| Mar 31, 2024 | -8.56% |
| Dec 31, 2023 | -14.21% |
| Sep 30, 2023 | -20.81% |
| Jun 30, 2023 | -26.21% |
| Mar 31, 2023 | -28.19% |
| Dec 31, 2022 | -26.96% |
| Sep 30, 2022 | -23.59% |
| Jun 30, 2022 | -20.27% |
| Mar 31, 2022 | -18.56% |
| Dec 31, 2021 | -13.31% |
| Sep 30, 2021 | -13.81% |
Krystal Biotech Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=KRYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();