ONTO Innovation Inc.: net finite-lived intangible assets
ONTO Innovation net finite-lived intangible assets: $271.8 million at 2020-12-26, down 16.5% on the year. 10 values since 2011, each linked to its SEC filing.
All ONTO Innovation Inc. financial histories
At a glance
ONTO Innovation reported net finite-lived intangible assets of $271.8 million at 2020-12-26, down 16.5% from $325.4 million a year earlier. From 2011 to 2020 it grew at a compound 38.7% a year, from $14.4 million to $271.8 million. Across the last five reported years it ranged from $412.0 thousand (2016-12-31) to $325.4 million (2019-12-31). That was 18.5% of total assets ($1.47 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
Finite-lived intangible assets after amortization. This excludes goodwill and should not be combined with indefinite-lived intangible assets without checking scope.
Exact concept: us-gaap:FiniteLivedIntangibleAssetsNet. 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 2011-12-31 to 2020-12-26. The SEC response was captured on 2026-09-19.
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 |
|---|---|---|---|---|---|
| - | 2020-12-26 | 271,757,000 | USD | 2022-02-25 | 10-K · 0001564590-22-006948 SEC |
| - | 2019-12-31 | 325,353,000 | USD | 2021-02-19 | 10-K · 0001564590-21-006843 SEC |
| - | 2018-12-29 | 25,926,000 | USD | 2019-02-25 | 10-K · 0001564590-19-004083 SEC |
| - | 2017-12-30 | 2,206,000 | USD | 2018-02-26 | 10-K · 0001564590-18-003134 SEC |
| - | 2016-12-31 | 412,000 | USD | 2018-02-26 | 10-K · 0001564590-18-003134 SEC |
| - | 2015-12-26 | 1,867,000 | USD | 2017-03-03 | 10-K · 0001564590-17-003258 SEC |
| - | 2014-12-27 | 4,294,000 | USD | 2016-02-24 | 10-K · 0001564590-16-013119 SEC |
| - | 2013-12-28 | 7,864,000 | USD | 2015-02-25 | 10-K · 0000704532-15-000006 SEC |
| - | 2012-12-29 | 10,980,000 | USD | 2014-03-07 | 10-K · 0000704532-14-000005 SEC |
| - | 2011-12-31 | 14,394,000 | USD | 2013-03-12 | 10-K · 0000704532-13-000004 SEC |
Related ONTO INNOVATION INC. 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
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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"])))