Atara Biotherapeutics (ATRA) Total Liabilities (2013 - 2026)
Atara Biotherapeutics' Total Liabilities was $58.02 million in Q2 2026, down 19.4% from $71.94 million a year earlier but up 1.2% from the prior quarter.
Atara Biotherapeutics (ATRA) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Atara Biotherapeutics came in at $58.74 million, down 71.5% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $206.38 million in FY2024 (+211.4%), $66.27 million in FY2023 (-73.5%), $249.78 million in FY2022 (+32.5%) and $188.51 million in FY2021 (+49.9%).
- Quarterly Total Liabilities has moved between $57.31 million (Q1 2026) and $263.58 million (Q1 2024) over five years.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with an average decline of 16.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 211.4%); the worst was Q4 2023 (a decline of 73.5%).
- Per Business Quant data, ATRA's Total Liabilities in the three quarters before Q2 2026 was $57.31 million (Q1 2026), $58.74 million (Q4 2025) and $66.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Atara Biotherapeutics | 127.78 Mn | 117.88 Mn | 439,000.00 | 58.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.02 Mn |
| Mar 31, 2026 | 57.31 Mn |
| Dec 31, 2025 | 58.74 Mn |
| Sep 30, 2025 | 66.80 Mn |
| Jun 30, 2025 | 71.94 Mn |
| Mar 31, 2025 | 117.11 Mn |
| Dec 31, 2024 | 206.38 Mn |
| Sep 30, 2024 | 233.25 Mn |
| Jun 30, 2024 | 228.15 Mn |
| Mar 31, 2024 | 263.58 Mn |
| Dec 31, 2023 | 66.27 Mn |
| Sep 30, 2023 | 239.63 Mn |
| Jun 30, 2023 | 238.99 Mn |
| Mar 31, 2023 | 237.12 Mn |
| Dec 31, 2022 | 249.78 Mn |
| Sep 30, 2022 | 181.20 Mn |
| Jun 30, 2022 | 178.64 Mn |
| Mar 31, 2022 | 172.96 Mn |
| Dec 31, 2021 | 188.51 Mn |
| Sep 30, 2021 | 139.78 Mn |
Atara Biotherapeutics Total Liabilities 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=total-liabilities&ticker=ATRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ATRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=ATRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();