Mosaic Immunoengineering, Inc.: selling, general and administrative expense
Mosaic Immunoengineering selling, general and administrative expense: $996.0 thousand for the year ending 2020-05-31, up 35.7% on the year. 10 values since 2011.
All Mosaic Immunoengineering, Inc. financial histories
At a glance
Mosaic Immunoengineering reported selling, general and administrative expense of $996.0 thousand for the year ending 2020-05-31, up 35.7% from $734.1 thousand a year earlier. From 2011 to 2020 it fell at a compound 9.9% a year, from $2.55 million to $996.0 thousand. Across the last five reported years it ranged from $734.1 thousand (2019-05-31) to $1.58 million (2016-05-31).
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.
Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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 2010-06-01 to 2020-05-31. The SEC response was captured on 2026-09-19.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2019-06-01 | 2020-05-31 | 996,019 | USD | 2020-08-24 | 10-K · 0001683168-20-002849 SEC |
| 2018-06-01 | 2019-05-31 | 734,062 | USD | 2020-08-24 | 10-K · 0001683168-20-002849 SEC |
| 2017-06-01 | 2018-05-31 | 1,047,127 | USD | 2019-08-29 | 10-K · 0001683168-19-002782 SEC |
| 2016-06-01 | 2017-05-31 | 1,216,347 | USD | 2018-08-29 | 10-K · 0001683168-18-002555 SEC |
| 2015-06-01 | 2016-05-31 | 1,576,473 | USD | 2017-08-29 | 10-K · 0001683168-17-002239 SEC |
| 2014-06-01 | 2015-05-31 | 1,437,802 | USD | 2016-08-29 | 10-K · 0001019687-16-007390 SEC |
| 2013-06-01 | 2014-05-31 | 1,660,090 | USD | 2015-08-31 | 10-K · 0001019687-15-003312 SEC |
| 2012-06-01 | 2013-05-31 | 1,381,430 | USD | 2014-08-19 | 10-K · 0001019687-14-003277 SEC |
| 2011-06-01 | 2012-05-31 | 1,994,784 | USD | 2013-08-23 | 10-K · 0001019687-13-003304 SEC |
| 2010-06-01 | 2011-05-31 | 2,550,666 | USD | 2012-08-29 | 10-K · 0001019687-12-003037 SEC |
Related MOSAIC IMMUNOENGINEERING, INC. histories
Inspect the source
- Entity
- MOSAIC IMMUNOENGINEERING, INC. / CIK 0000836564
- Captured
- SEC response SHA-256
20b7dbddee8b1aee5cb56cb4cf5c3c14c36ef1fafb538ec0211cfb2585ddf3fd
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000836564.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"])))