ASTROTECH Corp: research and development expense
ASTROTECH research and development expense: $8.14 million for the year ending 2025-06-30, up 19.9% on the year. 15 values since 2011 from SEC filings.
All ASTROTECH Corp financial histories
At a glance
ASTROTECH reported research and development expense of $8.14 million for the year ending 2025-06-30, up 19.9% from $6.79 million a year earlier. From 2011 to 2025 it grew at a compound 5.5% a year, from $3.83 million to $8.14 million. Across the last five reported years it ranged from $2.69 million (2021-06-30) to $8.14 million (2025-06-30). That was 814.2% of revenue ($1.00 million) 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 2010-07-01 to 2025-06-30. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-07-01 | 2025-06-30 | 8,142,000 | USD | 2025-09-26 | 10-K · 0001437749-25-029909 SEC |
| 2023-07-01 | 2024-06-30 | 6,790,000 | USD | 2025-09-26 | 10-K · 0001437749-25-029909 SEC |
| 2022-07-01 | 2023-06-30 | 5,591,000 | USD | 2024-09-20 | 10-K · 0001437749-24-029650 SEC |
| 2021-07-01 | 2022-06-30 | 2,781,000 | USD | 2023-09-28 | 10-K · 0001437749-23-027063 SEC |
| 2020-07-01 | 2021-06-30 | 2,692,000 | USD | 2022-09-15 | 10-K · 0001437749-22-022502 SEC |
| 2019-07-01 | 2020-06-30 | 3,437,000 | USD | 2021-09-21 | 10-K · 0001564590-21-048370 SEC |
| 2018-07-01 | 2019-06-30 | 3,578,000 | USD | 2020-09-08 | 10-K · 0001564590-20-042788 SEC |
| 2017-07-01 | 2018-06-30 | 6,065,000 | USD | 2019-09-30 | 10-K · 0001564590-19-035928 SEC |
| 2016-07-01 | 2017-06-30 | 5,587,000 | USD | 2018-09-25 | 10-K · 0001564590-18-023552 SEC |
| 2015-07-01 | 2016-06-30 | 6,469,000 | USD | 2017-09-18 | 10-K · 0001001907-17-000060 SEC |
| 2014-07-01 | 2015-06-30 | 3,234,000 | USD | 2016-09-29 | 10-K · 0001001907-16-000088 SEC |
| 2013-07-01 | 2014-06-30 | 2,505,000 | USD | 2015-09-22 | 10-K · 0001001907-15-000017 SEC |
| 2012-07-01 | 2013-06-30 | 2,080,000 | USD | 2014-09-30 | 10-K · 0001571049-14-004871 SEC |
| 2011-07-01 | 2012-06-30 | 2,571,000 | USD | 2013-10-15 | 10-K · 0001515971-13-000465 SEC |
| 2010-07-01 | 2011-06-30 | 3,834,000 | USD | 2012-09-28 | 10-K · 0001515971-12-000327 SEC |
Related ASTROTECH Corp histories
Inspect the source
- Entity
- ASTROTECH Corp / CIK 0001001907
- Captured
- SEC response SHA-256
d0f7e4897a2cf6eacfddf1c83a8857a62a7b1b49f0c6c67aaf50f51e5b9cf577
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/0001001907.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"])))