Crisp Momentum Inc.: net property, plant and equipment
Crisp Momentum net property, plant and equipment: $2901 at 2023-07-31, down 52.2% on the year. 3 values since 2021 from SEC filings, each linked to its filing.
All Crisp Momentum Inc. financial histories
At a glance
Crisp Momentum reported net property, plant and equipment of $2901 at 2023-07-31, down 52.2% from $6069 a year earlier. Across the last three reported years it ranged from $2901 (2023-07-31) to $9445 (2021-07-31). That was 10.9% of total assets ($26.7 thousand) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.
Exact concept: us-gaap:PropertyPlantAndEquipmentNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2021-07-31 to 2023-07-31. The SEC response was captured on 2026-09-20.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2023-07-31 | 2,901 | USD | 2024-11-27 | 10-K · 0001493152-24-047996 SEC |
| - | 2022-07-31 | 6,069 | USD | 2023-11-01 | 10-K · 0001493152-23-039011 SEC |
| - | 2021-07-31 | 9,445 | USD | 2022-10-31 | 10-K · 0001493152-22-030006 SEC |
Related Crisp Momentum Inc. histories
Inspect the source
- Entity
- Crisp Momentum Inc. / CIK 0000924396
- Captured
- SEC response SHA-256
f19e08020dc8ad0a08f852c911b21d42b2097f79dd46294d23407fc001e2a7a5
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/0000924396.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"])))