Myriad Genetics, Inc.: interest expense
Myriad Genetics interest expense: $2.90 million for the year ending 2023-12-31, down 9.4% on the year. 10 values since 2015, each linked to its SEC filing.
All Myriad Genetics, Inc. financial histories
At a glance
Myriad Genetics reported interest expense of $2.90 million for the year ending 2023-12-31, down 9.4% from $3.20 million a year earlier. From 2015 to 2023 it grew at a compound 37.0% a year, from $200.0 thousand to $2.90 million. Across the last five reported years it ranged from $2.90 million (2023-12-31) to $11.2 million (2020-12-31). That was 0.4% of revenue ($753.2 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
Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.
Exact concept: us-gaap:InterestExpense. 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 2014-07-01 to 2023-12-31. The SEC response was captured on 2026-09-20.
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 |
|---|---|---|---|---|---|
| 2023-01-01 | 2023-12-31 | 2,900,000 | USD | 2024-02-28 | 10-K · 0000899923-24-000018 SEC |
| 2022-01-01 | 2022-12-31 | 3,200,000 | USD | 2024-02-28 | 10-K · 0000899923-24-000018 SEC |
| 2021-01-01 | 2021-12-31 | 6,600,000 | USD | 2024-02-28 | 10-K · 0000899923-24-000018 SEC |
| 2020-01-01 | 2020-12-31 | 11,200,000 | USD | 2022-02-25 | 10-K · 0000899923-22-000033 SEC |
| 2019-07-01 | 2020-06-30 | 10,800,000 | USD | 2023-03-01 | 10-K · 0000899923-23-000011 SEC |
| 2018-07-01 | 2019-06-30 | 12,000,000 | USD | 2022-02-25 | 10-K · 0000899923-22-000033 SEC |
| 2017-07-01 | 2018-06-30 | 3,200,000 | USD | 2020-08-13 | 10-K · 0001564590-20-040011 SEC |
| 2016-07-01 | 2017-06-30 | 6,000,000 | USD | 2019-08-13 | 10-K · 0001564590-19-031849 SEC |
| 2015-07-01 | 2016-06-30 | 300,000 | USD | 2018-08-24 | 10-K · 0001564590-18-022312 SEC |
| 2014-07-01 | 2015-06-30 | 200,000 | USD | 2018-08-24 | 10-K · 0001564590-18-022312 SEC |
Related MYRIAD GENETICS, INC. histories
Inspect the source
- Entity
- MYRIAD GENETICS, INC. / CIK 0000899923
- Captured
- SEC response SHA-256
c3eafeff4dd551a90d16a39253ddb88b03cb419169f7bce5239bc051ac48cc07
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/0000899923.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"])))