Oddity Tech Ltd: net inventory
Net inventory for Oddity Tech Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Oddity Tech Ltd 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 2022-12-31 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 |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 135,181,000 | USD | 2026-03-17 | 20-F · 0001104659-26-029490 |
| At date | 2024-12-31 | 99,810,000 | USD | 2026-03-17 | 20-F · 0001104659-26-029490 |
| At date | 2023-12-31 | 84,106,000 | USD | 2025-02-25 | 20-F · 0001410578-25-000198 |
| At date | 2022-12-31 | 70,230,000 | USD | 2024-03-06 | 20-F · 0001104659-24-031179 |
Related financial histories
- Oddity Tech Ltd: total assets
- Oddity Tech Ltd: total liabilities
- Oddity Tech Ltd: stockholders equity
- Oddity Tech Ltd: cash and cash equivalents
- Oddity Tech Ltd: net income or loss
- Oddity Tech Ltd: operating cash flow
- Oddity Tech Ltd: capital expenditure payments
- Oddity Tech Ltd: contract revenue excluding tax
- Oddity Tech Ltd: financing cash flow
- Oddity Tech Ltd: investing cash flow
- Oddity Tech Ltd: retained earnings or deficit
- Oddity Tech Ltd: basic earnings per share
- Oddity Tech Ltd: diluted earnings per share
- Oddity Tech Ltd: income tax expense or benefit
- Oddity Tech Ltd: net property, plant and equipment
- Oddity Tech Ltd: share-based compensation expense
- Oddity Tech Ltd: operating income or loss
- Oddity Tech Ltd: current assets
- Oddity Tech Ltd: current liabilities
- Oddity Tech Ltd: current accounts payable
- Oddity Tech Ltd: goodwill carrying amount
- Oddity Tech Ltd: net finite-lived intangible assets
- Oddity Tech Ltd: net current accounts receivable
- Oddity Tech Ltd: gross profit
- Oddity Tech Ltd: cost of revenue
- Oddity Tech Ltd: selling, general and administrative expense
Inspect the source
- Entity
- Oddity Tech Ltd / CIK 0001907085
- Captured
- 2026-09-21T17:36:10.117Z
- SEC response SHA-256
d516941b3c44059b32c270ed3f85931bdfe73d44f9a9ff6207502160d8d13202
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/0001907085.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"])))