374WATER Inc.: share-based compensation expense
374WATER share-based compensation expense: $3.55 million for the year ending 2025-12-31, up 191.8% on the year. 11 values since 2011 from SEC filings.
All 374WATER Inc. financial histories
At a glance
374WATER reported share-based compensation expense of $3.55 million for the year ending 2025-12-31, up 191.8% from $1.22 million a year earlier. From 2011 to 2025 it grew at a compound 15.6% a year, from $466.9 thousand to $3.55 million. Across the last five reported years it ranged from $204.2 thousand (2021-12-31) to $3.55 million (2025-12-31). That was 1649.3% of revenue ($215.0 thousand) for the same year.
Computed from the values in the table below, in USD; each links to the filing it came from.
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 2011-01-01 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 |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 3,546,646 | USD | 2026-03-31 | 10-K · 0001654954-26-003094 SEC |
| 2024-01-01 | 2024-12-31 | 1,215,624 | USD | 2026-03-31 | 10-K · 0001654954-26-003094 SEC |
| 2023-01-01 | 2023-12-31 | 925,181 | USD | 2025-03-28 | 10-K · 0001654954-25-003443 SEC |
| 2022-01-01 | 2022-12-31 | 610,741 | USD | 2024-03-29 | 10-K · 0001654954-24-003957 SEC |
| 2021-01-01 | 2021-12-31 | 204,217 | USD | 2023-03-16 | 10-K · 0001654954-23-003036 SEC |
| 2020-01-01 | 2020-12-31 | 328 | USD | 2022-03-01 | 10-K · 0001654954-22-002303 SEC |
| 2019-01-01 | 2019-12-31 | 80,000 | USD | 2021-04-13 | 10-K/A · 0001575705-21-000193 SEC |
| 2018-01-01 | 2018-12-31 | 480,649 | USD | 2020-04-14 | 10-K · 0001575705-20-000049 SEC |
| 2016-01-01 | 2016-12-31 | 207,815 | USD | 2018-04-17 | 10-K · 0001575705-18-000074 SEC |
| 2012-01-01 | 2012-12-31 | 658,381 | USD | 2013-05-16 | 10-K · 0001019056-13-000657 SEC |
| 2011-01-01 | 2011-12-31 | 466,907 | USD | 2013-05-16 | 10-K · 0001019056-13-000657 SEC |
Related 374WATER INC. histories
Inspect the source
- Entity
- 374WATER INC. / CIK 0000933972
- Captured
- SEC response SHA-256
91ff6988a66c246ac12356457efcfc9688bc7d3cd482bc1469b3e6a8c03f5040
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000933972.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"])))