Cerus (CERS) Net Long-Term Debt Issued (Repaid) (2009 - 2024)
Cerus (CERS) recorded Net Long-Term Debt Issued (Repaid) of -$1.45 million in Q1 2023.
Analysis
Cerus (CERS) Net Long-Term Debt Issued (Repaid) (2009 - 2024) Analysis & Trends
For FY2021, Cerus reported Net Long-Term Debt Issued (Repaid) of $15 million.
- Across earlier years, Net Long-Term Debt Issued (Repaid) came in at $8.33 million in FY2019, -$133,000 in FY2018 and $10.38 million in FY2017.
- The Q1 2023 figure is the highest quarterly Net Long-Term Debt Issued (Repaid) since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | -7.00 Mn |
| 10 | Cerus | 393.81 Mn | 117.79 Mn | 30.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | -168,000.00 |
| Mar 31, 2023 | -2.90 Mn |
| Mar 31, 2021 | 15.00 Mn |
| Mar 31, 2020 | 204,000.00 |
| Dec 31, 2019 | -24,000.00 |
| Sep 30, 2019 | -35,000.00 |
| Jun 30, 2019 | -35,000.00 |
| Mar 31, 2019 | 8.42 Mn |
| Dec 31, 2018 | -34,000.00 |
| Sep 30, 2018 | -34,000.00 |
| Jun 30, 2018 | -33,000.00 |
| Mar 31, 2018 | -32,000.00 |
| Dec 31, 2017 | -32,000.00 |
| Sep 30, 2017 | -17.66 Mn |
| Jun 30, 2017 | -659,000.00 |
| Mar 31, 2017 | -1.27 Mn |
| Dec 31, 2016 | -31,000.00 |
| Sep 30, 2016 | -531,000.00 |
| Jun 30, 2016 | -28,000.00 |
API Access
Cerus Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=CERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "CERS", "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-current-debt&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();