FAST TRACK GROUP: cash and cash equivalents
Cash and cash equivalents for FAST TRACK GROUP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All FAST TRACK GROUP financial histories
What this measure means
Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.
Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. 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 2024-02-29 to 2026-02-28. The SEC response was captured on 2026-09-21.
Coverage by original unit
- SGD: 2024-02-29 to 2026-02-28.
- USD: 2025-02-28 to 2026-02-28.
These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2026-02-28 | 2,375,293 | SGD | 2026-06-30 | 20-F · 0001493152-26-031197 |
| At date | 2025-02-28 | 268,436 | SGD | 2026-06-30 | 20-F · 0001493152-26-031197 |
| At date | 2024-02-29 | 3,193 | SGD | 2025-07-14 | 20-F · 0001641172-25-018907 |
| At date | 2026-02-28 | 1,879,782 | USD | 2026-06-30 | 20-F · 0001493152-26-031197 |
| At date | 2025-02-28 | 198,938 | USD | 2025-07-14 | 20-F · 0001641172-25-018907 |
Related financial histories
- FAST TRACK GROUP: total assets
- FAST TRACK GROUP: total liabilities
- FAST TRACK GROUP: stockholders equity
- FAST TRACK GROUP: net income or loss
- FAST TRACK GROUP: operating cash flow
- FAST TRACK GROUP: contract revenue excluding tax
- FAST TRACK GROUP: financing cash flow
- FAST TRACK GROUP: retained earnings or deficit
- FAST TRACK GROUP: basic weighted-average shares
- FAST TRACK GROUP: diluted weighted-average shares
- FAST TRACK GROUP: basic earnings per share
- FAST TRACK GROUP: diluted earnings per share
- FAST TRACK GROUP: operating income or loss
- FAST TRACK GROUP: current assets
- FAST TRACK GROUP: interest expense
- FAST TRACK GROUP: current liabilities
- FAST TRACK GROUP: operating expenses
- FAST TRACK GROUP: gross profit
- FAST TRACK GROUP: cost of revenue
Inspect the source
- Entity
- FAST TRACK GROUP / CIK 0002027262
- Captured
- 2026-09-21T17:41:23.362Z
- SEC response SHA-256
9df4f3467d39004ef2148eb5381b26ddd8808e460a511420325affb54193ba0b
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
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0002027262.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"])))