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Kyntra Bio, Inc.: contract revenue excluding tax

Kyntra Bio contract revenue excluding tax: $6.44 million for the year ending 2025-12-31, down 78.3% on the year. 10 values since 2016 from SEC filings.

All Kyntra Bio, Inc. financial histories

At a glance

Kyntra Bio reported contract revenue excluding tax of $6.44 million for the year ending 2025-12-31, down 78.3% from $29.6 million a year earlier. From 2016 to 2025 it fell at a compound 31.1% a year, from $183.2 million to $6.44 million. Across the last five reported years it ranged from $6.44 million (2025-12-31) to $235.3 million (2021-12-31).

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Revenue from customer contracts excluding assessed taxes under this specific taxonomy concept. It is not automatically comparable to older revenue tags.

Exact concept: us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax. 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 2016-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Contract revenue excluding tax in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-316,440,000USD2026-03-1610-K · 0001193125-26-108346 SEC
2024-01-012024-12-3129,621,000USD2026-03-1610-K · 0001193125-26-108346 SEC
2023-01-012023-12-3146,803,000USD2025-03-1710-K · 0000950170-25-040280 SEC
2022-01-012022-12-31140,734,000USD2024-02-2610-K · 0000950170-24-020161 SEC
2021-01-012021-12-31235,309,000USD2024-02-2610-K · 0000950170-24-020161 SEC
2020-01-012020-12-31176,319,000USD2023-02-2710-K · 0000950170-23-004668 SEC
2019-01-012019-12-31256,577,000USD2022-03-0410-K/A · 0001564590-22-008804 SEC
2018-01-012018-12-31212,958,000USD2021-03-0110-K · 0001564590-21-009871 SEC
2017-01-012017-12-31130,996,000USD2020-03-0210-K · 0001564590-20-008161 SEC
2016-01-012016-12-31183,189,000USD2019-02-2710-K · 0001564590-19-004979 SEC

Related KYNTRA BIO, INC. histories

All 58 Kyntra Bio 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"])))