Atara Biotherapeutics (ATRA) Operating Expenses (2013 - 2026)
Atara Biotherapeutics (ATRA) reported Operating Expenses of $5.35 million for Q2 2026, down 62.8% from $14.38 million a year earlier but up 37.7% from the prior quarter.
Atara Biotherapeutics (ATRA) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Atara Biotherapeutics' Operating Expenses came in at $20.42 million, down 88.7% year-over-year; for FY2025, it was $84.91 million, down 60.0% from FY2024.
- Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -22.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $212.38 million in FY2024 (-25.4%), $284.58 million in FY2023 (-17.3%), $344.09 million in FY2022 (-4.6%) and $360.8 million in FY2021 (+16.7%).
- Five-year quarterly Operating Expenses spans a low of $3.89 million in Q1 2026 and a high of $100.95 million in Q4 2021.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with an average decline of 55.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 23.6%); the low point was Q1 2026 (a decline of 93.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.89 million (Q1 2026), $4.16 million (Q4 2025) and $7.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Atara Biotherapeutics | 141.16 Mn | 131.26 Mn | 439,000.00 | 5.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.35 Mn |
| Mar 31, 2026 | 3.89 Mn |
| Dec 31, 2025 | 4.16 Mn |
| Sep 30, 2025 | 7.03 Mn |
| Jun 30, 2025 | 14.38 Mn |
| Mar 31, 2025 | 59.35 Mn |
| Dec 31, 2024 | 44.96 Mn |
| Sep 30, 2024 | 61.95 Mn |
| Jun 30, 2024 | 46.87 Mn |
| Mar 31, 2024 | 58.60 Mn |
| Dec 31, 2023 | 64.21 Mn |
| Sep 30, 2023 | 71.75 Mn |
| Jun 30, 2023 | 72.37 Mn |
| Mar 31, 2023 | 76.24 Mn |
| Dec 31, 2022 | 75.76 Mn |
| Sep 30, 2022 | 89.08 Mn |
| Jun 30, 2022 | 83.71 Mn |
| Mar 31, 2022 | 95.53 Mn |
| Dec 31, 2021 | 100.95 Mn |
| Sep 30, 2021 | 90.18 Mn |
Atara Biotherapeutics Operating Expenses 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=operating-expenses&ticker=ATRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ATRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();