SRIVARU Holding Limited: net inventory
Net inventory for SRIVARU Holding Limited. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All SRIVARU Holding Limited financial histories
What this measure means
Inventory carrying amount after applicable valuation and LIFO reserves. It does not establish realizable selling proceeds or inventory turnover without other inputs.
Exact concept: us-gaap:InventoryNet. 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 2022-03-31 to 2025-03-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-03-31 | 941,046 | USD | 2025-08-08 | 20-F · 0001641172-25-022759 |
| At date | 2024-03-31 | 119,743 | USD | 2025-08-08 | 20-F · 0001641172-25-022759 |
| At date | 2023-03-31 | 331,548 | USD | 2024-07-23 | 20-F/A · 0001493152-24-028749 |
| At date | 2022-03-31 | 435,103 | USD | 2023-12-28 | 20-F · 0001493152-23-046381 |
Related financial histories
- SRIVARU Holding Limited: total assets
- SRIVARU Holding Limited: total liabilities
- SRIVARU Holding Limited: cash and cash equivalents
- SRIVARU Holding Limited: net income or loss
- SRIVARU Holding Limited: operating cash flow
- SRIVARU Holding Limited: revenue
- SRIVARU Holding Limited: contract revenue excluding tax
- SRIVARU Holding Limited: financing cash flow
- SRIVARU Holding Limited: investing cash flow
- SRIVARU Holding Limited: retained earnings or deficit
- SRIVARU Holding Limited: basic weighted-average shares
- SRIVARU Holding Limited: diluted weighted-average shares
- SRIVARU Holding Limited: basic earnings per share
- SRIVARU Holding Limited: diluted earnings per share
- SRIVARU Holding Limited: net property, plant and equipment
- SRIVARU Holding Limited: operating income or loss
- SRIVARU Holding Limited: current assets
- SRIVARU Holding Limited: interest expense
- SRIVARU Holding Limited: current liabilities
- SRIVARU Holding Limited: current accounts payable
- SRIVARU Holding Limited: gross profit
- SRIVARU Holding Limited: cost of revenue
Inspect the source
- Entity
- SRIVARU Holding Limited / CIK 0001973368
- Captured
- 2026-09-21T17:37:10.580Z
- SEC response SHA-256
4dcab30f422451d8977f25676addf7cd0fc9eb5813bb5a97949702022e7b482b
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/0001973368.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"])))