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THERAPEUTIC SOLUTIONS INTERNATIONAL, INC.: change in inventories

Change in inventories for THERAPEUTIC SOLUTIONS INTERNATIONAL, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All THERAPEUTIC SOLUTIONS INTERNATIONAL, INC. financial histories

What this measure means

The cash flow adjustment for the change in inventories during the period. A positive value under this concept means inventory grew and reduced operating cash flow.

Exact concept: us-gaap:IncreaseDecreaseInInventories. 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 2011-01-01 to 2023-12-31. The SEC response was captured on 2026-09-21.

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

Change in inventories in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2023-01-012023-12-31-19,854USD2024-04-1710-K · 0001493152-24-014975
2022-01-012022-12-312,611USD2024-04-1710-K · 0001493152-24-014975
2021-01-012021-12-3134,418USD2023-03-2910-K · 0001493152-23-009468
2020-01-012020-12-31219USD2022-03-3110-K · 0001493152-22-008511
2019-01-012019-12-315,180USD2021-04-1210-K/A · 0001078782-21-000338
2018-01-012018-12-31-1,515USD2020-05-2110-K · 0001078782-20-000363
2017-01-012017-12-31-34,920USD2019-04-1510-K · 0001078782-19-000334
2016-01-012016-12-316,759USD2018-04-1710-K · 0001078782-18-000437
2015-01-012015-12-31-29,675USD2016-10-3110-K · 0001078782-16-003690
2014-01-012014-12-310USD2016-10-3110-K · 0001078782-16-003690
2013-01-012013-12-313,992USD2016-04-2210-K · 0001078782-16-002693
2012-01-012012-12-3117,408USD2016-04-2210-K · 0001078782-16-002693
2011-01-012011-12-31-48,198USD2013-03-2910-K · 0001078782-13-000576

Related financial histories

Inspect the source

Entity
THERAPEUTIC SOLUTIONS INTERNATIONAL, INC. / CIK 0001419051
Captured
2026-09-21T17:19:45.690Z
SEC response SHA-256
ad44380627053f8e0101ecf19c259e20a0a85d4c20ee53d5400d9dcf00541fc2

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/0001419051.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"])))