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OCULAR THERAPEUTIX, INC: research and development expense

Research and development expense for OCULAR THERAPEUTIX, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All OCULAR THERAPEUTIX, INC financial histories

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 2012-01-01 to 2025-12-31. 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
2025-01-012025-12-31197,096,000USD2026-02-0510-K · 0001104659-26-010664
2024-01-012024-12-31127,635,000USD2026-02-0510-K · 0001104659-26-010664
2023-01-012023-12-3161,055,000USD2026-02-0510-K · 0001104659-26-010664
2022-01-012022-12-3153,462,000USD2025-03-0310-K · 0001558370-25-002000
2021-01-012021-12-3150,083,000USD2024-03-1110-K · 0001558370-24-002902
2020-01-012020-12-3128,694,000USD2023-03-0610-K · 0001558370-23-002908
2019-01-012019-12-3141,091,000USD2022-02-2810-K · 0001558370-22-002363
2018-01-012018-12-3136,915,000USD2020-03-1210-K · 0001558370-20-002537
2017-01-012017-12-3130,880,000USD2020-03-1210-K · 0001558370-20-002537
2016-01-012016-12-3127,065,000USD2019-03-0710-K · 0001558370-19-001659
2015-01-012015-12-3126,611,000USD2018-03-0810-K · 0001558370-18-001678
2014-01-012014-12-3118,880,000USD2017-03-1010-K · 0001558370-17-001627
2013-01-012013-12-3110,517,000USD2016-03-1010-K · 0001193125-16-499184
2012-01-012012-12-3111,540,000USD2015-03-2010-K · 0001193125-15-099288

Related financial histories

Inspect the source

Entity
OCULAR THERAPEUTIX, INC / CIK 0001393434
Captured
2026-09-20T07:59:40.792Z
SEC response SHA-256
49208a819b449e933d340040d01c62c3d6db52e27de000c4850c8c33e540bcb2

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/0001393434.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"])))