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Celldex Therapeutics, Inc.: share-based compensation expense

Share-based compensation expense for Celldex Therapeutics, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Celldex Therapeutics, Inc. financial histories

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Share-based compensation expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3136,217,000USD2026-02-2510-K · 0001104659-26-019652
2024-01-012024-12-3134,242,000USD2026-02-2510-K · 0001104659-26-019652
2023-01-012023-12-3123,890,000USD2026-02-2510-K · 0001104659-26-019652
2022-01-012022-12-3115,611,000USD2025-02-2710-K · 0001410578-25-000216
2021-01-012021-12-318,953,000USD2024-02-2610-K · 0001410578-24-000076
2020-01-012020-12-313,915,000USD2023-02-2810-K · 0001104659-23-026701
2019-01-012019-12-314,551,000USD2022-02-2810-K · 0001104659-22-028070
2018-01-012018-12-318,081,000USD2021-03-2910-K · 0001104659-21-043161
2017-01-012017-12-3112,312,000USD2020-03-2610-K · 0001047469-20-001809
2016-01-012016-12-3115,317,000USD2019-03-0710-K · 0001047469-19-000992
2015-01-012015-12-3112,774,000USD2018-03-0710-K · 0001047469-18-001363
2014-01-012014-12-316,852,000USD2017-03-1410-K · 0001047469-17-001564
2013-01-012013-12-314,548,000USD2016-02-2510-K/A · 0001047469-16-010396
2012-01-012012-12-312,298,000USD2015-02-2410-K · 0001047469-15-001081
2011-01-012011-12-312,342,000USD2014-03-0310-K · 0001047469-14-001653
2010-01-012010-12-312,802,000USD2013-03-0810-K · 0001047469-13-002403
2009-01-012009-12-313,058,000USD2012-03-0810-K · 0001047469-12-002276

Related financial histories

Inspect the source

Entity
Celldex Therapeutics, Inc. / CIK 0000744218
Captured
2026-09-19T15:01:25.275Z
SEC response SHA-256
a253f724b1319f3eeec0fb678b43576159c8fa993fc97e4268adfafa9963e2f2

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/0000744218.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"])))