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MTS SYSTEMS CORPORATION: diluted weighted-average shares

Diluted weighted-average shares for MTS SYSTEMS CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MTS SYSTEMS CORPORATION financial histories

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2008-09-28 to 2020-10-03. The SEC response was captured on 2026-09-22.

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

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2019-09-292020-10-0319,212,000shares2020-12-1510-K · 0000068709-20-000047 SEC
2018-09-302019-09-2819,447,000shares2020-12-1510-K · 0000068709-20-000047 SEC
2017-10-012018-09-2919,293,000shares2020-12-1510-K · 0000068709-20-000047 SEC
2016-10-022017-09-3019,137,000shares2019-11-2510-K · 0000068709-19-000051 SEC
2015-10-042016-10-0116,179,000shares2018-11-2610-K · 0000068709-18-000038 SEC
2014-09-282015-10-0315,142,000shares2017-11-2710-K · 0000068709-17-000050 SEC
2013-09-292014-09-2715,397,000shares2017-04-1010-K · 0000068709-17-000026 SEC
2012-09-302013-09-2815,861,000shares2015-12-0210-K · 0000897101-15-001612 SEC
2011-10-022012-09-2916,077,000shares2013-11-2710-K · 0000897101-13-001762 SEC
2011-09-302012-09-2916,077,000shares2014-11-2610-K · 0000897101-14-001738 SEC
2010-10-032011-10-0115,739,000shares2013-11-2710-K · 0000897101-13-001762 SEC
2009-10-042010-10-0216,347,000shares2012-11-2810-K · 0000897101-12-002045 SEC
2008-09-282009-10-0316,831,000shares2011-12-3010-K/A · 0001140361-11-059222 SEC

Related MTS SYSTEMS CORPORATION histories

Inspect the source

Entity
MTS SYSTEMS CORPORATION / CIK 0000068709
Captured
SEC response SHA-256
2a9654d7fe8c6cf187e62b944a7ba9c3996ae95964391dfe66062b0c88e7132e

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000068709.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"])))