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PSYCHEMEDICS CORPORATION: operating expenses

Operating expenses for PSYCHEMEDICS CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All PSYCHEMEDICS CORPORATION financial histories

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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 2009-01-01 to 2024-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Operating expenses in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-01-012024-12-318,994,000USD2025-03-2410-K · 0001171843-25-001658
2023-01-012023-12-3111,334,000USD2025-03-2410-K · 0001171843-25-001658
2022-01-012022-12-3110,374,000USD2024-03-2810-K · 0001171843-24-001671
2021-01-012021-12-3110,055,000USD2023-03-2710-K · 0001171843-23-001908
2020-01-012020-12-3110,952,000USD2023-03-2710-K · 0001171843-23-001908
2019-01-012019-12-3113,446,000USD2022-03-3010-K · 0001171843-22-002192
2018-01-012018-12-3113,008,000USD2021-03-2610-K · 0001171843-21-002107
2017-01-012017-12-3111,665,000USD2020-02-2510-K · 0001171843-20-001248
2016-01-012016-12-3111,340,000USD2019-03-0410-K · 0001171843-19-001481
2015-01-012015-12-3111,246,000USD2018-03-1610-K · 0001171843-18-002060
2014-01-012014-12-3110,448,000USD2017-03-0710-K · 0001144204-17-013217
2013-01-012013-12-319,687,669USD2016-02-2610-K · 0001144204-16-084605
2012-01-012012-12-319,315,960USD2015-02-2710-K · 0001144204-15-012568
2011-01-012011-12-318,672,173USD2014-02-2810-K · 0001144204-14-012603
2010-01-012010-12-317,627,170USD2013-03-0810-K · 0001144204-13-013811
2009-01-012009-12-317,025,686USD2012-03-0910-K · 0001144204-12-013979

Related financial histories

Inspect the source

Entity
PSYCHEMEDICS CORPORATION / CIK 0000806517
Captured
2026-09-21T17:17:03.097Z
SEC response SHA-256
86f20b52a099e76620fe6881a053ed61515c47925a0b1b6a4ed64f7b833f6a17

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/0000806517.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"])))