Nkarta (NKTX) Operating Expenses (2019 - 2026)
Nkarta's Operating Expenses came in at $43.13 million for Q2 2026, up 58.6% from $27.19 million a year earlier and up 39.7% from the prior quarter.
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Analysis
Nkarta (NKTX) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nkarta reported Operating Expenses of $132.25 million, up 2.9% year-over-year; for FY2025, it came in at $122 million, down 4.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $128.19 million in FY2024 (-2.6%), $131.65 million in FY2023 (+10.7%), $118.96 million in FY2022 (+37.6%) and $86.43 million in FY2021 (+67.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2019.
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 4.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 63.2%), and the weakest in Q3 2025 (a decline of 19.3%).
- Business Quant data shows NKTX's Operating Expenses at $30.88 million (Q1 2026), $30.96 million (Q4 2025) and $27.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Nkarta | 187.66 Mn | 187.66 Mn | - | 43.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.13 Mn |
| Mar 31, 2026 | 30.88 Mn |
| Dec 31, 2025 | 30.96 Mn |
| Sep 30, 2025 | 27.29 Mn |
| Jun 30, 2025 | 27.19 Mn |
| Mar 31, 2025 | 36.56 Mn |
| Dec 31, 2024 | 30.92 Mn |
| Sep 30, 2024 | 33.79 Mn |
| Jun 30, 2024 | 30.72 Mn |
| Mar 31, 2024 | 32.76 Mn |
| Dec 31, 2023 | 31.19 Mn |
| Sep 30, 2023 | 29.29 Mn |
| Jun 30, 2023 | 36.86 Mn |
| Mar 31, 2023 | 34.31 Mn |
| Dec 31, 2022 | 34.98 Mn |
| Sep 30, 2022 | 30.26 Mn |
| Jun 30, 2022 | 27.61 Mn |
| Mar 31, 2022 | 26.10 Mn |
| Dec 31, 2021 | 22.89 Mn |
| Sep 30, 2021 | 22.43 Mn |
API Access
Nkarta 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=NKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NKTX", "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=NKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();