Cerus (CERS) Operating Leases (2019 - 2026)
Cerus (CERS) posted Operating Leases of $8.64 million for Q2 2026, down 24.3% from $11.4 million a year earlier and down 8.0% from the prior quarter.
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Analysis
Cerus (CERS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Cerus' Operating Leases came in at $10.15 million, down 12.9% from FY2024.
- Annual Operating Leases has declined for six consecutive years, with a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- In prior years, Cerus' Operating Leases was $11.66 million in FY2024 (-15.2%), $13.75 million in FY2023 (-10.3%), $15.33 million in FY2022 (-5.7%) and $16.26 million in FY2021 (-3.6%).
- The Q2 2026 figure stands as the lowest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has declined in each of the last 17 quarters, with an average decline of 15.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2022, with growth of 0.5%; the weakest was Q2 2026, with a decline of 24.3%.
- According to Business Quant data, Operating Leases for the three prior quarters was $9.38 million (Q1 2026), $10.15 million (Q4 2025) and $10.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Cerus | 497.77 Mn | 200.38 Mn | 29.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.64 Mn |
| Mar 31, 2026 | 9.38 Mn |
| Dec 31, 2025 | 10.15 Mn |
| Sep 30, 2025 | 10.67 Mn |
| Jun 30, 2025 | 11.40 Mn |
| Mar 31, 2025 | 11.94 Mn |
| Dec 31, 2024 | 11.66 Mn |
| Sep 30, 2024 | 12.27 Mn |
| Jun 30, 2024 | 12.85 Mn |
| Mar 31, 2024 | 13.47 Mn |
| Dec 31, 2023 | 13.75 Mn |
| Sep 30, 2023 | 14.08 Mn |
| Jun 30, 2023 | 14.45 Mn |
| Mar 31, 2023 | 14.96 Mn |
| Dec 31, 2022 | 15.33 Mn |
| Sep 30, 2022 | 15.70 Mn |
| Jun 30, 2022 | 16.22 Mn |
| Mar 31, 2022 | 16.79 Mn |
| Dec 31, 2021 | 16.26 Mn |
| Sep 30, 2021 | 16.08 Mn |
API Access
Cerus Operating Leases 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=operating-leases&ticker=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();