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Magnera Corporation: research and development expense

Magnera research and development expense: $20.0 million for the year ending 2025-09-27, up 53.8% on the year. 3 values since 2023. Download the selected JSON.

All Magnera Corporation financial histories

At a glance

Magnera reported research and development expense of $20.0 million for the year ending 2025-09-27, up 53.8% from $13.0 million a year earlier. Across the last three reported years it ranged from $13.0 million (2024-09-28) to $20.0 million (2025-09-27). That was 0.6% of revenue ($3.20 billion) for the same year.

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 2022-10-03 to 2025-09-27. The SEC response was captured on 2026-09-19.

Selected filing history

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-09-292025-09-2720,000,000USD2025-11-2510-K · 0000041719-25-000110 SEC
2023-10-012024-09-2813,000,000USD2025-11-2510-K · 0000041719-25-000110 SEC
2022-10-032023-09-3015,000,000USD2025-11-2510-K · 0000041719-25-000110 SEC

Related Magnera Corporation histories

All 61 Magnera histories

Inspect the source

Entity
Magnera Corporation / CIK 0000041719
Captured
SEC response SHA-256
c4b3c440619d5cbcd69734433811a6e24a3bd879bcae21ebdc8504cdcbae7521

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/0000041719.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"])))