Cerus (CERS) Non-Current Debt (2010 - 2026)
Cerus (CERS) recorded Non-Current Debt of $34.83 million in Q2 2026, down 38.6% from $56.77 million a year earlier but up 7.4% from the prior quarter.
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Analysis
Cerus (CERS) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Cerus reported Non-Current Debt of $40.55 million, down 37.5% from FY2024.
- Annual Non-Current Debt has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Debt came in at $64.86 million in FY2024 (+8.5%), $59.8 million in FY2023 (+338.3%), $13.64 million in FY2022 (-75.1%) and $54.72 million in FY2021 (+38.2%).
- Quarterly Non-Current Debt has ranged from $13.64 million in Q4 2022 to $64.88 million in Q1 2025 over the past five years.
- On a year-over-year basis, Non-Current Debt has declined for five consecutive quarters, with an average decline of 18.3% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 338.3% in Q4 2023, against a decline of 75.1% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.43 million (Q1 2026), $40.55 million (Q4 2025) and $48.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Cerus | 497.77 Mn | 200.38 Mn | 29.53 Mn | 34.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.83 Mn |
| Mar 31, 2026 | 32.43 Mn |
| Dec 31, 2025 | 40.55 Mn |
| Sep 30, 2025 | 48.66 Mn |
| Jun 30, 2025 | 56.77 Mn |
| Mar 31, 2025 | 64.88 Mn |
| Dec 31, 2024 | 64.86 Mn |
| Sep 30, 2024 | 64.85 Mn |
| Jun 30, 2024 | 64.84 Mn |
| Mar 31, 2024 | 64.83 Mn |
| Dec 31, 2023 | 59.80 Mn |
| Sep 30, 2023 | 59.79 Mn |
| Jun 30, 2023 | 54.84 Mn |
| Mar 31, 2023 | 54.83 Mn |
| Dec 31, 2022 | 13.64 Mn |
| Sep 30, 2022 | 27.36 Mn |
| Jun 30, 2022 | 41.07 Mn |
| Mar 31, 2022 | 54.77 Mn |
| Dec 31, 2021 | 54.72 Mn |
| Sep 30, 2021 | 54.68 Mn |
API Access
Cerus Non-Current Debt 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_KEYimport 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();