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NORTHEAST BANCORP /ME/: filings

Every NORTHEAST BANCORP /ME/ annual and quarterly report in the SEC record with the published financial measures it tagged, 31 filings, each linked to its SEC index.

Filing record ends 2019-05-08

The latest filing in this captured record is a 10-Q filed 2019-05-08. No later filing is in the SEC companyfacts record captured on 2026-09-23. NORTHEAST BANCORP /ME/ may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2019-05-08fiscal Q3 201926770001437749-19-009061
10-Q2019-02-08fiscal Q2 201926750001437749-19-002113
10-Q2018-11-09fiscal Q1 201925540001437749-18-020214
10-K2018-09-13fiscal FY 2018341660001437749-18-016964
10-Q2018-05-10fiscal Q3 201827770001437749-18-009322
10-Q2018-02-09fiscal Q2 201827770001437749-18-002136
10-Q2017-11-09fiscal Q1 201826560001437749-17-018812
10-K2017-09-13fiscal FY 2017301550001437749-17-015900
10-Q2017-05-10fiscal Q3 201723700001437749-17-008514
10-Q2017-02-09fiscal Q2 201723700001437749-17-001990
10-Q2016-11-09fiscal Q1 201724520001437749-16-041549
10-K2016-09-13fiscal FY 201630620001437749-16-038610
10-Q2016-05-13fiscal Q3 201623700001437749-16-031748
10-Q2016-02-12fiscal Q2 201623700001437749-16-025274
10-Q2015-11-13fiscal Q1 201624520001437749-15-020757
10-K2015-09-28fiscal FY 201532650001047469-15-007607
10-Q2015-05-12fiscal Q3 201523670001104659-15-037130
10-Q2015-02-13fiscal Q2 201523670001104659-15-010145
10-Q2014-11-12fiscal Q1 201524510001104659-14-079722
10-K2014-09-29fiscal FY 201430600001047469-14-007934
10-Q2014-05-08fiscal Q3 201423700001104659-14-036182
10-Q2014-02-12fiscal Q2 201423700001104659-14-008839
10-Q2013-11-14fiscal Q1 201423500001104659-13-084435
10-K2013-09-27fiscal FY 201333680001104659-13-072680
10-Q2013-05-15fiscal Q3 201326780001104659-13-041734
10-Q2013-02-14fiscal Q2 201326780001104659-13-010504
10-Q2012-11-14fiscal Q1 201326540001193125-12-469313
10-K2012-09-28fiscal FY 201213270001193125-12-409033
10-Q2012-04-30fiscal Q3 20129180001193125-12-196628
10-Q2012-02-14fiscal Q2 20129180001193125-12-061379
10-Q2011-11-14fiscal Q1 20129180001193125-11-311057

Inspect the source

Entity
NORTHEAST BANCORP /ME/ / CIK 0000811831
Captured
SEC response SHA-256
71a123b3fe91b51315ed38b6a6016b03f12c1f9ce6ac0e4c7e364930dfb78e79

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0000811831.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"])))