Radnostix Inc: capital expenditure payments
Radnostix capital expenditure payments: $534.2 thousand for the year ending 2025-12-31, down 25.9% on the year. 12 values since 2014 from SEC filings.
All Radnostix Inc financial histories
At a glance
Radnostix reported capital expenditure payments of $534.2 thousand for the year ending 2025-12-31, down 25.9% from $721.2 thousand a year earlier. From 2014 to 2025 it grew at a compound 14.9% a year, from $115.4 thousand to $534.2 thousand. Across the last five reported years it ranged from $120.0 thousand (2022-12-31) to $721.2 thousand (2024-12-31). That was 4.1% of revenue ($13.1 million) 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
Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.
Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. 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 2014-01-01 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 | 534,155 | USD | 2026-03-31 | 10-K · 0001437749-26-010700 SEC |
| 2024-01-01 | 2024-12-31 | 721,215 | USD | 2026-03-31 | 10-K · 0001437749-26-010700 SEC |
| 2023-01-01 | 2023-12-31 | 149,058 | USD | 2025-03-04 | 10-K · 0001437749-25-006015 SEC |
| 2022-01-01 | 2022-12-31 | 120,014 | USD | 2024-03-29 | 10-K · 0001437749-24-010010 SEC |
| 2021-01-01 | 2021-12-31 | 205,474 | USD | 2023-04-06 | 10-K · 0001515971-23-000035 SEC |
| 2020-01-01 | 2020-12-31 | 7,744 | USD | 2022-03-31 | 10-K · 0001515971-22-000058 SEC |
| 2019-01-01 | 2019-12-31 | 208,102 | USD | 2021-03-30 | 10-K · 0001515971-21-000025 SEC |
| 2018-01-01 | 2018-12-31 | 86,320 | USD | 2020-03-30 | 10-K · 0001515971-20-000046 SEC |
| 2017-01-01 | 2017-12-31 | 110,115 | USD | 2019-03-22 | 10-K · 0001515971-19-000031 SEC |
| 2016-01-01 | 2016-12-31 | 93,603 | USD | 2018-03-30 | 10-K · 0001515971-18-000027 SEC |
| 2015-01-01 | 2015-12-31 | 92,827 | USD | 2017-03-31 | 10-K · 0001515971-17-000057 SEC |
| 2014-01-01 | 2014-12-31 | 115,388 | USD | 2016-03-24 | 10-K · 0001515971-16-000459 SEC |
Related RADNOSTIX INC histories
Inspect the source
- Entity
- RADNOSTIX INC / CIK 0001038277
- Captured
- SEC response SHA-256
35d920206489f02966fd6855879d13b9d21532ef7a2bfd2841cc4dba85a869dd
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
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001038277.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"])))