GENOCEA BIOSCIENCES, INC.: general and administrative expense
General and administrative expense for GENOCEA BIOSCIENCES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All GENOCEA BIOSCIENCES, INC. financial histories
What this measure means
General and administrative costs reported under this concept, separate from selling expense. Filers group overhead differently, so compare presentation before comparing companies.
Exact concept: us-gaap:GeneralAndAdministrativeExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2012-01-01 to 2021-12-31. The SEC response was captured on 2026-09-22.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2021-01-01 | 2021-12-31 | 14,714,000 | USD | 2022-03-18 | 10-K · 0001457612-22-000039 SEC |
| 2020-01-01 | 2020-12-31 | 14,388,000 | USD | 2022-03-18 | 10-K · 0001457612-22-000039 SEC |
| 2019-01-01 | 2019-12-31 | 12,037,000 | USD | 2021-02-22 | 10-K · 0001457612-21-000022 SEC |
| 2018-01-01 | 2018-12-31 | 14,309,000 | USD | 2020-02-13 | 10-K · 0001457612-20-000015 SEC |
| 2017-01-01 | 2017-12-31 | 13,433,000 | USD | 2019-02-28 | 10-K · 0001457612-19-000027 SEC |
| 2016-01-01 | 2016-12-31 | 15,427,000 | USD | 2018-02-16 | 10-K · 0001457612-18-000019 SEC |
| 2015-01-01 | 2015-12-31 | 13,987,000 | USD | 2018-02-16 | 10-K · 0001457612-18-000019 SEC |
| 2014-01-01 | 2014-12-31 | 9,747,000 | USD | 2017-02-17 | 10-K · 0001457612-17-000009 SEC |
| 2013-01-01 | 2013-12-31 | 4,961,000 | USD | 2016-02-17 | 10-K · 0001457612-16-000048 SEC |
| 2012-01-01 | 2012-12-31 | 3,690,000 | USD | 2015-02-27 | 10-K · 0001104659-15-014851 SEC |
Related GENOCEA BIOSCIENCES, INC. histories
Inspect the source
- Entity
- GENOCEA BIOSCIENCES, INC. / CIK 0001457612
- Captured
- SEC response SHA-256
9f722e7249594552aa807010a8a9d7a169c6e253f7e72b8c863f61ea3e301d8d
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
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001457612.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"])))