aTYR PHARMA (ATYR) Long-Term Debt Repayments (2014 - 2026)
aTYR PHARMA (ATYR) posted Long-Term Debt Repayments of $145,000 for Q2 2026, up 9.0% from $133,000 a year earlier and up 2.1% from the prior quarter.
aTYR PHARMA (ATYR) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at aTYR PHARMA was $562,000, up 8.7% year-over-year; for FY2025, it was $539,000, up 8.5% from FY2024.
- Annual Long-Term Debt Repayments has increased for three consecutive years, though with a five-year compound annual growth rate of -43.2% (FY2020 to FY2025).
- In prior years, aTYR PHARMA's Long-Term Debt Repayments was $497,000 in FY2024 (+26.1%), $394,000 in FY2023 (+497.0%) and $66,000 in FY2022.
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q4 2020.
- On a year-over-year basis, Long-Term Debt Repayments has increased in each of the last 11 quarters, with growth averaging 9.8% over the last eight quarters.
- The year-over-year growth in Long-Term Debt Repayments has ranged between 8.1% (Q2 2025) and 83.3% (Q1 2024) over the last five years.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $142,000 (Q1 2026), $139,000 (Q4 2025) and $136,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | aTYR PHARMA | 16.86 Mn | -275.96 Mn | - | 145,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145,000.00 |
| Mar 31, 2026 | 142,000.00 |
| Dec 31, 2025 | 139,000.00 |
| Sep 30, 2025 | 136,000.00 |
| Jun 30, 2025 | 133,000.00 |
| Mar 31, 2025 | 131,000.00 |
| Dec 31, 2024 | 128,000.00 |
| Sep 30, 2024 | 125,000.00 |
| Jun 30, 2024 | 123,000.00 |
| Mar 31, 2024 | 121,000.00 |
| Dec 31, 2023 | 115,000.00 |
| Sep 30, 2023 | 108,000.00 |
| Jun 30, 2023 | 105,000.00 |
| Mar 31, 2023 | 66,000.00 |
| Dec 31, 2022 | 66,000.00 |
| Dec 31, 2020 | 3.08 Mn |
| Sep 30, 2020 | 2.00 Mn |
| Jun 30, 2020 | 2.00 Mn |
| Mar 31, 2020 | 2.00 Mn |
| Dec 31, 2019 | 2.00 Mn |
aTYR PHARMA Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=ATYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ATYR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=ATYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();