Cyanotech (CYAN) Current Leases (2019 - 2025)
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Analysis
Cyanotech (CYAN) Current Leases (2019 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 576,000.00 |
| Jun 30, 2025 | 566,000.00 |
| Mar 31, 2025 | 555,000.00 |
| Dec 31, 2024 | 545,000.00 |
| Sep 30, 2024 | 533,000.00 |
| Jun 30, 2024 | 536,000.00 |
| Mar 31, 2024 | 530,000.00 |
| Dec 31, 2023 | 517,000.00 |
| Sep 30, 2023 | 506,000.00 |
| Jun 30, 2023 | 494,000.00 |
| Mar 31, 2023 | 483,000.00 |
| Dec 31, 2022 | 243,000.00 |
| Sep 30, 2022 | 294,000.00 |
| Jun 30, 2022 | 344,000.00 |
| Mar 31, 2022 | 393,000.00 |
| Dec 31, 2021 | 382,000.00 |
| Sep 30, 2021 | 373,000.00 |
| Jun 30, 2021 | 348,000.00 |
| Mar 31, 2021 | 343,000.00 |
| Dec 31, 2020 | 338,000.00 |
API Access
Cyanotech Current 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=current-leases&ticker=CYAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-leases", "ticker": "CYAN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=current-leases&ticker=CYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();