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CHASE CORPORATION: long-term debt

Long-term debt for CHASE CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CHASE CORPORATION financial histories

What this measure means

Long-term borrowings under this concept, which can include the current portion depending on presentation. It is not total liabilities and may exclude leases and other obligations.

Exact concept: us-gaap:LongTermDebt. 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 2011-08-31 to 2023-08-31. 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

Long-term debt in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2023-08-31105,000,000USD2023-11-0910-K · 0001558370-23-018600 SEC
-2022-08-31180,000,000USD2023-11-0910-K · 0001558370-23-018600 SEC
-2021-08-310USD2021-11-1510-K · 0001558370-21-016037 SEC
-2020-08-310USD2021-11-1510-K · 0001558370-21-016037 SEC
-2019-08-310USD2020-11-1210-K · 0001558370-20-013721 SEC
-2018-08-3125,000,000USD2019-11-1310-K · 0001558370-19-010957 SEC
-2016-08-3143,400,000USD2017-11-0910-K · 0001558370-17-008752 SEC
-2014-08-3158,800,000USD2014-11-1410-K · 0001047469-14-009223 SEC
-2013-08-3164,400,000USD2014-11-1410-K · 0001047469-14-009223 SEC
-2012-08-3170,000,000USD2013-11-1410-K · 0001047469-13-010544 SEC
-2011-08-3112,667,000USD2012-11-1510-K · 0001047469-12-010587 SEC

Related CHASE CORPORATION histories

Inspect the source

Entity
CHASE CORPORATION / CIK 0000830524
Captured
SEC response SHA-256
2ceaecbc0d3632268daa7576c404e050c0dc14231007e43002842e94df3c9351

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/0000830524.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"])))