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Coherent Corp.: revenue

Coherent revenue: $1.16 billion for the year ending 2018-06-30, up 19.2% on the year. 10 values since 2009 from SEC filings, each linked to its filing.

All Coherent Corp. financial histories

At a glance

Coherent reported revenue of $1.16 billion for the year ending 2018-06-30, up 19.2% from $972.0 million a year earlier. From 2009 to 2018 it grew at a compound 16.5% a year, from $292.2 million to $1.16 billion. Across the last five reported years it ranged from $683.3 million (2014-06-30) to $1.16 billion (2018-06-30).

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-07-01 to 2018-06-30. 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

Revenue in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2017-07-012018-06-301,158,794,000USD2018-08-2810-K · 0001564590-18-022409 SEC
2016-07-012017-06-30972,046,000USD2018-08-2810-K · 0001564590-18-022409 SEC
2015-07-012016-06-30827,216,000USD2018-08-2810-K · 0001564590-18-022409 SEC
2014-07-012015-06-30741,961,000USD2017-08-2110-K · 0001564590-17-017901 SEC
2013-07-012014-06-30683,261,000USD2016-08-2610-K · 0001564590-16-024750 SEC
2012-07-012013-06-30551,075,000USD2015-08-2810-K · 0001564590-15-007628 SEC
2011-07-012012-06-30516,403,000USD2014-08-2810-K · 0001564590-14-003921 SEC
2010-07-012011-06-30502,801,000USD2013-08-2810-K · 0001193125-13-350423 SEC
2009-07-012010-06-30345,091,000USD2012-08-2810-K · 0001193125-12-371833 SEC
2008-07-012009-06-30292,222,000USD2011-08-2610-K · 0001193125-11-233520 SEC

Related COHERENT CORP. histories

All 60 Coherent histories

Inspect the source

Entity
COHERENT CORP. / CIK 0000820318
Captured
SEC response SHA-256
7d791ad03faf63356a10a6ccd68f119dbacdd41951a34aef227fa2125afed7b6

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/0000820318.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"])))