Graham Corporation: net inventory
Graham net inventory: $50.8 million at 2026-03-31, up 26.8% on the year. 13 values since 2011 from SEC filings, each linked to its filing. In original units.
All Graham Corporation financial histories
At a glance
Graham reported net inventory of $50.8 million at 2026-03-31, up 26.8% from $40.0 million a year earlier. From 2011 to 2026 it grew at a compound 12.9% a year, from $8.26 million to $50.8 million. Across the last five reported years it ranged from $17.4 million (2022-03-31) to $50.8 million (2026-03-31). That was 15.7% of total assets ($323.6 million) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Inventory carrying amount after applicable valuation and LIFO reserves. It does not establish realizable selling proceeds or inventory turnover without other inputs.
Exact concept: us-gaap:InventoryNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2011-03-31 to 2026-03-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2026-03-31 | 50,758,000 | USD | 2026-06-08 | 10-K · 0001193125-26-260688 SEC |
| - | 2025-03-31 | 40,025,000 | USD | 2026-06-08 | 10-K · 0001193125-26-260688 SEC |
| - | 2024-03-31 | 33,410,000 | USD | 2025-06-09 | 10-K · 0000950170-25-083450 SEC |
| - | 2023-03-31 | 26,293,000 | USD | 2024-06-07 | 10-K · 0000950170-24-070222 SEC |
| - | 2022-03-31 | 17,414,000 | USD | 2023-06-08 | 10-K · 0000950170-23-026915 SEC |
| - | 2021-03-31 | 17,332,000 | USD | 2022-06-09 | 10-K · 0000950170-22-011403 SEC |
| - | 2020-03-31 | 22,291,000 | USD | 2021-06-02 | 10-K · 0001564590-21-031421 SEC |
| - | 2019-03-31 | 24,670,000 | USD | 2020-06-15 | 10-K · 0001564590-20-029237 SEC |
| - | 2018-03-31 | 11,566,000 | USD | 2019-05-31 | 10-K · 0001564590-19-021076 SEC |
| - | 2014-03-31 | 16,518,000 | USD | 2014-06-04 | 10-K · 0001193125-14-224704 SEC |
| - | 2013-03-31 | 11,171,000 | USD | 2014-06-04 | 10-K · 0001193125-14-224704 SEC |
| - | 2012-03-31 | 6,047,000 | USD | 2013-06-05 | 10-K · 0001193125-13-247725 SEC |
| - | 2011-03-31 | 8,257,000 | USD | 2012-06-07 | 10-K · 0001193125-12-263414 SEC |
Related GRAHAM CORPORATION histories
Inspect the source
- Entity
- GRAHAM CORPORATION / CIK 0000716314
- Captured
- SEC response SHA-256
f00f46d3e22c4bff785f138255eb304386077f7e1a104da7ce8f652b039fc314
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000716314.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"])))