Chiron Real Estate Inc.: financial reference
Explore Chiron Real Estate Inc. financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.
Reported financial histories
Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.
| Measure | Period start | Period end | Value | Unit | Filed |
|---|---|---|---|---|---|
| Total assets | At date | 2025-12-31 | 1,242,465,000 | USD | 2026-03-02 |
| Total liabilities | At date | 2025-12-31 | 712,400,000 | USD | 2026-03-02 |
| Stockholders equity | At date | 2025-12-31 | 509,770,000 | USD | 2026-03-02 |
| Cash and cash equivalents | At date | 2025-12-31 | 9,084,000 | USD | 2026-03-02 |
| Net income or loss | 2021-01-01 | 2021-12-31 | 18,342,000 | USD | 2022-03-01 |
| Operating cash flow | 2025-01-01 | 2025-12-31 | 73,610,000 | USD | 2026-03-02 |
| Revenue | 2025-01-01 | 2025-12-31 | 148,208,000 | USD | 2026-03-02 |
| Financing cash flow | 2025-01-01 | 2025-12-31 | -10,259,000 | USD | 2026-03-02 |
| Investing cash flow | 2025-01-01 | 2025-12-31 | -60,404,000 | USD | 2026-03-02 |
| Retained earnings or deficit | At date | 2025-12-31 | -349,965,000 | USD | 2026-03-02 |
| Basic weighted-average shares | 2025-01-01 | 2025-12-31 | 13,379,000 | shares | 2026-03-02 |
| Diluted weighted-average shares | 2025-01-01 | 2025-12-31 | 13,379,000 | shares | 2026-03-02 |
| Basic earnings per share | 2025-01-01 | 2025-12-31 | -0.91 | USD/shares | 2026-03-02 |
| Diluted earnings per share | 2025-01-01 | 2025-12-31 | -0.91 | USD/shares | 2026-03-02 |
| Share-based compensation expense | 2025-01-01 | 2025-12-31 | 4,496,000 | USD | 2026-03-02 |
| Current assets | At date | 2013-08-31 | 3,519 | USD | 2013-11-29 |
| Interest expense | 2023-01-01 | 2023-12-31 | 30,893,000 | USD | 2024-02-28 |
| Current liabilities | At date | 2013-08-31 | 19,424 | USD | 2013-11-29 |
| Goodwill carrying amount | At date | 2025-12-31 | 5,903,000 | USD | 2026-03-02 |
| Net finite-lived intangible assets | At date | 2025-12-31 | 46,004,000 | USD | 2026-03-02 |
| Operating expenses | 2023-01-01 | 2023-12-31 | 134,007,000 | USD | 2024-02-28 |
Inspect the source
- Entity
- Chiron Real Estate Inc. / CIK 0001533615
- Captured
- 2026-09-20T09:16:29.948Z
- SEC response SHA-256
89782e1e5ebfe1e389027e00d7b17e7cc3463412438f37f9813789e4f86cb3bd
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001533615.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))