NexPoint Real Estate Finance, Inc.: share-based compensation expense
Share-based compensation expense for NexPoint Real Estate Finance, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All NexPoint Real Estate Finance, 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 2020-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 5,989,000 | USD | 2026-03-31 | 10-K · 0001193125-26-134672 |
| 2024-01-01 | 2024-12-31 | 6,073,000 | USD | 2026-03-31 | 10-K · 0001193125-26-134672 |
| 2023-01-01 | 2023-12-31 | 4,411,000 | USD | 2026-03-31 | 10-K · 0001193125-26-134672 |
| 2022-01-01 | 2022-12-31 | 3,286,000 | USD | 2025-03-27 | 10-K · 0001786248-25-000004 |
| 2021-01-01 | 2021-12-31 | 2,023,000 | USD | 2024-03-22 | 10-K · 0001786248-24-000004 |
| 2020-01-01 | 2020-12-31 | 548,000 | USD | 2023-03-31 | 10-K · 0001786248-23-000007 |
Related financial histories
- NexPoint Real Estate Finance, Inc.: total assets
- NexPoint Real Estate Finance, Inc.: total liabilities
- NexPoint Real Estate Finance, Inc.: cash and cash equivalents
- NexPoint Real Estate Finance, Inc.: operating cash flow
- NexPoint Real Estate Finance, Inc.: financing cash flow
- NexPoint Real Estate Finance, Inc.: investing cash flow
- NexPoint Real Estate Finance, Inc.: retained earnings or deficit
- NexPoint Real Estate Finance, Inc.: basic weighted-average shares
- NexPoint Real Estate Finance, Inc.: diluted weighted-average shares
- NexPoint Real Estate Finance, Inc.: basic earnings per share
- NexPoint Real Estate Finance, Inc.: diluted earnings per share
- NexPoint Real Estate Finance, Inc.: interest expense
- NexPoint Real Estate Finance, Inc.: common-stock repurchase payments
- NexPoint Real Estate Finance, Inc.: operating expenses
Inspect the source
- Entity
- NexPoint Real Estate Finance, Inc. / CIK 0001786248
- Captured
- 2026-09-21T17:27:25.146Z
- SEC response SHA-256
b2fbab1795c29208904672bc27377d1b1f4c47e98d724a63b965e89615c1608f
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.
- Get an API key and run your first validation
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001786248.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"])))