Krystal Biotech (KRYS) Non Operating Income (2017 - 2019)
Krystal Biotech's Non Operating Income was $542,000 in Q2 2019, up 213.3% from $173,000 a year earlier but down 7.0% from the prior quarter.
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Analysis
Krystal Biotech (KRYS) Non Operating Income (2017 - 2019) Analysis & Trends
On a trailing twelve-month basis, Krystal Biotech's Non Operating Income was $1.52 million through Jun 30, 2019; for FY2017, it came in at -$3.15 million.
- In earlier years, Non Operating Income was -$7,000 in FY2016.
- Quarterly Non Operating Income has moved between -$3.18 million (Q3 2017) and $583,000 (Q1 2019) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | -202.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.63 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -130.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Krystal Biotech | 9.08 Bn | 5.67 Bn | 119.79 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 542,000.00 |
| Mar 31, 2019 | 583,000.00 |
| Dec 31, 2018 | 511,000.00 |
| Sep 30, 2018 | 217,000.00 |
| Jun 30, 2018 | 173,000.00 |
| Mar 31, 2018 | 127,000.00 |
| Dec 31, 2017 | 105,000.00 |
| Sep 30, 2017 | -3.18 Mn |
| Jun 30, 2017 | -44,000.00 |
| Mar 31, 2017 | -29,000.00 |
API Access
Krystal Biotech Non Operating Income 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=non-operating-income&ticker=KRYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=KRYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();