Cerus (CERS) Total Non-Current Liabilities (2009 - 2026)
Cerus (CERS) reported Total Non-Current Liabilities of $123.15 million for Q3 2026, down 16.7% from $147.76 million a year earlier and down 4.7% from the prior quarter.
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Analysis
Cerus (CERS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Cerus posted Total Non-Current Liabilities of $151.5 million, up 8.1% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $140.13 million in FY2024 (-0.7%), $141.07 million in FY2023 (-3.4%), $146.03 million in FY2022 (-2.3%) and $149.54 million in FY2021 (+28.4%).
- The Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2020.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 1.7%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 28.4%); the low point was Q3 2026 (a decline of 16.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $129.25 million (Q2 2026), $149.2 million (Q1 2026) and $151.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Cerus | 393.81 Mn | 117.79 Mn | 30.27 Mn | 123.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 123.15 Mn |
| Jun 30, 2026 | 129.25 Mn |
| Mar 31, 2026 | 149.20 Mn |
| Dec 31, 2025 | 151.50 Mn |
| Sep 30, 2025 | 147.76 Mn |
| Jun 30, 2025 | 152.53 Mn |
| Mar 31, 2025 | 146.51 Mn |
| Dec 31, 2024 | 140.13 Mn |
| Sep 30, 2024 | 131.46 Mn |
| Jun 30, 2024 | 131.58 Mn |
| Mar 31, 2024 | 135.54 Mn |
| Dec 31, 2023 | 141.07 Mn |
| Sep 30, 2023 | 153.99 Mn |
| Jun 30, 2023 | 144.37 Mn |
| Mar 31, 2023 | 147.36 Mn |
| Dec 31, 2022 | 146.03 Mn |
| Sep 30, 2022 | 138.08 Mn |
| Jun 30, 2022 | 136.57 Mn |
| Mar 31, 2022 | 138.22 Mn |
| Dec 31, 2021 | 149.54 Mn |
API Access
Cerus Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();