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Palatin Technologies, Inc.: research and development expense

Palatin Technologies research and development expense: $14.9 million for the year ending 2025-06-30, down 33.5% on the year. 16 values since 2010.

All Palatin Technologies, Inc. financial histories

At a glance

Palatin Technologies reported research and development expense of $14.9 million for the year ending 2025-06-30, down 33.5% from $22.4 million a year earlier. From 2010 to 2025 it grew at a compound 1.3% a year, from $12.3 million to $14.9 million. Across the last five reported years it ranged from $12.9 million (2021-06-30) to $22.6 million (2023-06-30).

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

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. 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 2009-07-01 to 2025-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-07-012025-06-3014,898,494USD2025-09-2310-K · 0001654954-25-011030 SEC
2023-07-012024-06-3022,400,372USD2025-09-2310-K · 0001654954-25-011030 SEC
2022-07-012023-06-3022,630,577USD2024-09-3010-K · 0001654954-24-012498 SEC
2021-07-012022-06-3021,327,434USD2023-09-2810-K · 0001654954-23-012335 SEC
2020-07-012021-06-3012,926,559USD2022-09-2210-K · 0001654954-22-012862 SEC
2019-07-012020-06-3013,959,397USD2021-09-2810-K · 0001654954-21-010495 SEC
2018-07-012019-06-3014,857,095USD2020-09-2510-K · 0001654954-20-010471 SEC
2017-07-012018-06-3032,566,217USD2019-09-1210-K · 0001654954-19-010679 SEC
2016-07-012017-06-3032,566,217USD2020-09-2510-K · 0001654954-20-010471 SEC
2015-07-012016-06-3043,071,051USD2018-09-1310-K · 0001654954-18-010150 SEC
2014-07-012015-06-3024,560,233USD2017-09-2510-K · 0001654954-17-008792 SEC
2013-07-012014-06-3010,826,921USD2016-09-1910-K · 0001654954-16-002272 SEC
2012-07-012013-06-3010,528,691USD2015-09-1810-K · 0001354488-15-004334 SEC
2011-07-012012-06-3013,813,376USD2014-09-1210-K · 0001354488-14-004608 SEC
2010-07-012011-06-3010,377,019USD2013-09-2710-K · 0001354488-13-005466 SEC
2009-07-012010-06-3012,293,910USD2012-09-1010-K · 0001387131-12-002955 SEC

Related PALATIN TECHNOLOGIES, INC. histories

All 54 Palatin Technologies histories

Inspect the source

Entity
PALATIN TECHNOLOGIES, INC. / CIK 0000911216
Captured
SEC response SHA-256
dea0c935057d0b00b98869e527ab39e8e66171ec9db0dd9125f9020a11f753cc

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/0000911216.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"])))