CURIS, INC.: financial reference

Context from the filing

For Curis in 2019 and 2020, the filing excludes potential common-stock equivalents because their effect would be anti-dilutive in the reported loss periods. Dollar losses are displayed in thousands; share counts and per-share data are unscaled. The historical filing's full weighted-average shares and reported USD EPS are retained without converting them to a later share basis. Read the source filing.

For Curis in 2024 and 2025, potential dilutive common-stock equivalents are excluded during losses. The March and July 2025 pre-funded warrants are already included in weighted-average basic and diluted shares because they are fully vested, immediately exercisable and issuable for little or no consideration. They must not be added again as dilution. Dollar losses are displayed in thousands; full share counts and reported USD EPS are preserved. Read the source filing.

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.

Inspect the source

Entity

CURIS, INC. / CIK 0001108205

Captured

2026-09-20T05:23:40.541Z

SEC response SHA-256

844a153fc06343c14854b58f38ad345e7ab34cf867e744e88827927acddd844e

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.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001108205.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"])))