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SANUWAVE Health, Inc.: cash and cash equivalents

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

All SANUWAVE Health, 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 2009-12-31 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 date2025-12-3111,959,000USD2026-03-2610-K · 0001628280-26-021443
At date2024-12-3110,237,000USD2026-03-2610-K · 0001628280-26-021443
At date2023-12-311,797,000USD2025-03-2010-K · 0001628280-25-014141
At date2022-12-311,153,000USD2024-03-2110-K · 0001140361-24-014611
At date2022-09-301,112,000USD2023-03-3110-K · 0001140361-23-015331
At date2022-06-301,484,000USD2023-03-3110-K · 0001140361-23-015331
At date2022-03-31313,000USD2023-03-3110-K · 0001140361-23-015331
At date2021-12-31619,000USD2023-03-3110-K · 0001140361-23-015331
At date2020-12-312,437,000USD2022-05-1310-K · 0001140361-22-019072
At date2019-12-311,760,455USD2021-10-2110-K · 0001140361-21-035116
At date2018-12-31364,549USD2020-03-3010-K · 0001654954-20-003538
At date2017-12-31730,184USD2020-03-3010-K · 0001654954-20-003538
At date2016-12-31133,571USD2019-04-0110-K · 0001654954-19-003872
At date2015-12-31152,930USD2018-03-2910-K · 0001654954-18-003375
At date2014-12-313,547,071USD2017-03-3110-K · 0001437749-17-005765
At date2013-12-31182,315USD2016-03-3010-K · 0001437749-16-028700
At date2012-12-3170,325USD2015-03-0310-K · 0001437749-15-003987
At date2011-12-313,909,383USD2014-03-3110-K · 0001437749-14-005532
At date2010-12-31417,457USD2013-03-2610-K · 0001437749-13-003482
At date2009-12-311,786,369USD2012-03-1410-K · 0001437749-12-002307

Related financial histories

Inspect the source

Entity
SANUWAVE Health, Inc. / CIK 0001417663
Captured
2026-09-20T08:02:35.518Z
SEC response SHA-256
51a2d5afc6b3c84f5ebe71aa20944ba7646a9b22810a9cc023a45d564e5104f2

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/0001417663.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"])))