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Northern Technologies International Corp: diluted weighted-average shares

Northern Technologies International diluted weighted-average shares: 9.64 million shares for the year ending 2025-08-31, down 2.0% on the year. 15 values since 2011.

All Northern Technologies International Corp financial histories

At a glance

Northern Technologies International reported diluted weighted-average shares of 9.64 million shares for the year ending 2025-08-31, down 2.0% from 9.83 million shares a year earlier. From 2011 to 2025 it grew at a compound 5.8% a year, from 4.40 million shares to 9.64 million shares. Across the last five reported years it ranged from 9.64 million shares (2022-08-31) to 9.87 million shares (2021-08-31).

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

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 2010-09-01 to 2025-08-31. The SEC response was captured on 2026-09-20.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-09-012025-08-319,639,676shares2025-11-2010-K · 0001171843-25-007481 SEC
2023-09-012024-08-319,833,450shares2025-11-2010-K · 0001171843-25-007481 SEC
2022-09-012023-08-319,693,482shares2024-11-1910-K · 0001171843-24-006440 SEC
2021-09-012022-08-319,635,028shares2023-11-2110-K · 0001171843-23-007230 SEC
2020-09-012021-08-319,874,139shares2022-11-1510-K · 0001171843-22-007494 SEC
2019-09-012020-08-319,096,981shares2021-11-1910-K · 0001171843-21-008091 SEC
2018-09-012019-08-319,415,974shares2020-11-1310-K · 0001171843-20-007980 SEC
2017-09-012018-08-319,370,404shares2019-11-1310-K · 0001171843-19-007508 SEC
2016-09-012017-08-314,577,359shares2018-11-1310-K · 0001171843-18-007912 SEC
2015-09-012016-08-314,537,504shares2017-11-2110-K · 0001171843-17-007207 SEC
2014-09-012015-08-314,649,060shares2016-11-2210-K · 0001171843-16-013352 SEC
2013-09-012014-08-314,579,498shares2015-11-1310-K · 0001171843-15-006334 SEC
2012-09-012013-08-314,475,895shares2015-11-1310-K · 0001171843-15-006334 SEC
2011-09-012012-08-314,451,594shares2013-11-2210-K · 0001171843-13-004772 SEC
2010-09-012011-08-314,404,100shares2012-11-2110-K · 0001171843-12-004247 SEC

Related NORTHERN TECHNOLOGIES INTERNATIONAL CORP histories

All 51 Northern Technologies International histories

Inspect the source

Entity
NORTHERN TECHNOLOGIES INTERNATIONAL CORP / CIK 0000875582
Captured
SEC response SHA-256
2f4e24f2aceb415b718da8700f7a654cc0eeb5545e55a2e46ddec021827fb702

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/0000875582.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"])))