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ONTO Innovation Inc.: current liabilities

ONTO Innovation current liabilities: $218.9 million at 2026-01-03, up 28.7% on the year. 17 values since 2011 from SEC filings, each linked to its filing.

All ONTO Innovation Inc. financial histories

At a glance

ONTO Innovation reported current liabilities of $218.9 million at 2026-01-03, up 28.7% from $170.1 million a year earlier. From 2011 to 2026 it grew at a compound 13.6% a year, from $32.5 million to $218.9 million. Across the last five reported years it ranged from $147.7 million (2023-12-30) to $218.9 million (2026-01-03). That was 9.2% of total assets ($2.37 billion) 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

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

Exact concept: us-gaap:LiabilitiesCurrent. 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 2011-01-01 to 2026-01-03. The SEC response was captured on 2026-09-19.

Selected filing history

Current liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2026-01-03218,946,000USD2026-02-2410-K · 0001193125-26-066937 SEC
-2024-12-28170,089,000USD2026-02-2410-K · 0001193125-26-066937 SEC
-2023-12-30147,726,000USD2025-02-2510-K · 0000950170-25-026729 SEC
-2022-12-31160,558,000USD2024-02-2610-K · 0000950170-24-020150 SEC
-2022-01-01154,526,000USD2023-02-2410-K · 0000950170-23-004283 SEC
-2020-12-26120,091,000USD2022-02-2510-K · 0001564590-22-006948 SEC
-2019-12-3185,743,000USD2021-02-1910-K · 0001564590-21-006843 SEC
-2018-12-3144,991,000USD2020-02-2510-K · 0001564590-20-006357 SEC
-2018-12-2959,773,000USD2019-02-2510-K · 0001564590-19-004083 SEC
-2017-12-3044,095,000USD2019-02-2510-K · 0001564590-19-004083 SEC
-2016-12-3142,026,000USD2018-02-2610-K · 0001564590-18-003134 SEC
-2015-12-2645,211,000USD2017-03-0310-K · 0001564590-17-003258 SEC
-2014-12-2738,202,000USD2016-02-2410-K · 0001564590-16-013119 SEC
-2013-12-2848,957,000USD2015-02-2510-K · 0000704532-15-000006 SEC
-2012-12-2930,727,000USD2014-03-0710-K · 0000704532-14-000005 SEC
-2011-12-3140,781,000USD2013-03-1210-K · 0000704532-13-000004 SEC
-2011-01-0132,477,000USD2012-03-1410-K · 0000704532-12-000006 SEC

Related ONTO INNOVATION INC. histories

All 66 ONTO Innovation histories

Inspect the source

Entity
ONTO INNOVATION INC. / CIK 0000704532
Captured
SEC response SHA-256
179011789e2789effc4665568bbff21dd7c7af9d497081745d0aaf7894e4708f

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.

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/0000704532.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"])))