Kyntra Bio, Inc.: current accounts payable
Kyntra Bio current accounts payable: $3.75 million at 2025-12-31, down 26.0% on the year. 12 values since 2014 from SEC filings, each linked to its filing.
All Kyntra Bio, Inc. financial histories
At a glance
Kyntra Bio reported current accounts payable of $3.75 million at 2025-12-31, down 26.0% from $5.06 million a year earlier. From 2014 to 2025 it fell at a compound 1.8% a year, from $4.55 million to $3.75 million. Across the last five reported years it ranged from $3.75 million (2025-12-31) to $30.8 million (2022-12-31). That was 3.1% of total assets ($119.6 million) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Current amounts owed to suppliers for goods and services received. This is one component of current liabilities, not all accrued obligations.
Exact concept: us-gaap:AccountsPayableCurrent. 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 2014-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-12-31 | 3,745,000 | USD | 2026-03-16 | 10-K · 0001193125-26-108346 SEC |
| - | 2024-12-31 | 5,064,000 | USD | 2026-03-16 | 10-K · 0001193125-26-108346 SEC |
| - | 2023-12-31 | 15,778,000 | USD | 2025-03-17 | 10-K · 0000950170-25-040280 SEC |
| - | 2022-12-31 | 30,758,000 | USD | 2024-02-26 | 10-K · 0000950170-24-020161 SEC |
| - | 2021-12-31 | 26,097,000 | USD | 2023-02-27 | 10-K · 0000950170-23-004668 SEC |
| - | 2020-12-31 | 24,789,000 | USD | 2022-03-04 | 10-K/A · 0001564590-22-008804 SEC |
| - | 2019-12-31 | 6,088,000 | USD | 2021-03-01 | 10-K · 0001564590-21-009871 SEC |
| - | 2018-12-31 | 9,139,000 | USD | 2020-03-02 | 10-K · 0001564590-20-008161 SEC |
| - | 2017-12-31 | 5,509,000 | USD | 2019-02-27 | 10-K · 0001564590-19-004979 SEC |
| - | 2016-12-31 | 6,223,000 | USD | 2018-02-27 | 10-K · 0001564590-18-003508 SEC |
| - | 2015-12-31 | 6,521,000 | USD | 2017-03-01 | 10-K · 0001564590-17-003095 SEC |
| - | 2014-12-31 | 4,551,000 | USD | 2016-02-29 | 10-K · 0001564590-16-013728 SEC |
Related KYNTRA BIO, INC. histories
Inspect the source
- Entity
- KYNTRA BIO, INC. / CIK 0000921299
- Captured
- SEC response SHA-256
60313741a614d381e73fc033725566bd06ee27593e71b4e95a10100fd7a817db
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000921299.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"])))