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LIPOCINE INC.: cash and cash equivalents

Cash and cash equivalents for LIPOCINE INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LIPOCINE INC. financial histories

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2011-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Cash and cash equivalents in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-315,205,842USD2026-03-1010-K · 0001493152-26-009411
At date2024-12-316,205,926USD2026-03-1010-K · 0001493152-26-009411
At date2023-12-314,771,758USD2025-03-1310-K · 0001493152-25-010146
At date2022-12-313,148,496USD2024-03-0710-K · 0001493152-24-009127
At date2021-12-312,950,552USD2023-03-1010-K · 0001493152-23-007178
At date2020-12-3119,217,382USD2022-03-0910-K · 0001493152-22-006353
At date2019-12-319,728,523USD2021-03-1110-K · 0001104659-21-034761
At date2018-12-318,077,539USD2020-03-1310-K · 0001104659-20-032764
At date2017-12-313,210,749USD2019-03-0610-K · 0001144204-19-012434
At date2016-12-315,560,716USD2018-03-1210-K · 0001144204-18-013981
At date2015-12-3120,007,659USD2018-03-1210-K · 0001144204-18-013981
At date2014-12-3127,666,055USD2018-03-1210-K · 0001144204-18-013981
At date2013-12-3145,263,698USD2017-03-0610-K · 0001144204-17-012930
At date2012-12-315,377,114USD2015-03-1110-K · 0001144204-15-015256
At date2011-12-318,567,823USD2014-03-3110-K · 0001144204-14-019291

Related financial histories

Inspect the source

Entity
LIPOCINE INC. / CIK 0001535955
Captured
2026-09-20T09:16:59.475Z
SEC response SHA-256
fc6b1f5b710fdd1e50873bb5567fd88fca6380fc2de8a24324b8b2dd733b35ce

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001535955.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"])))