Intellia Therapeutics (NTLA) Operating Expenses (2015 - 2026)
Intellia Therapeutics (NTLA) recorded Operating Expenses of $120.42 million in Q2 2026, down 3.1% from $124.24 million a year earlier but up 4.2% from the prior quarter.
Intellia Therapeutics (NTLA) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Intellia Therapeutics' Operating Expenses came in at $482.99 million as of Jun 30, 2026, down 14.5% year-over-year; for FY2025, it was $508.66 million, down 14.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $592.14 million in FY2024 (+7.4%), $551.57 million in FY2023 (+8.1%), $510.29 million in FY2022 (+69.6%) and $300.9 million in FY2021 (+54.6%).
- Quarterly Operating Expenses has ranged from $79.2 million in Q3 2021 to $155.5 million in Q1 2022 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for six consecutive quarters, with an average decline of 7.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 194.1% in Q1 2022, against a decline of 19.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $115.58 million (Q1 2026), $121.73 million (Q4 2025) and $125.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Intellia Therapeutics | 1.57 Bn | -171.10 Mn | - | 129.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 129.49 Mn |
| Jun 30, 2026 | 120.42 Mn |
| Mar 31, 2026 | 115.58 Mn |
| Dec 31, 2025 | 121.73 Mn |
| Sep 30, 2025 | 125.26 Mn |
| Jun 30, 2025 | 124.24 Mn |
| Mar 31, 2025 | 137.43 Mn |
| Dec 31, 2024 | 149.32 Mn |
| Sep 30, 2024 | 153.88 Mn |
| Jun 30, 2024 | 146.00 Mn |
| Mar 31, 2024 | 142.94 Mn |
| Dec 31, 2023 | 137.98 Mn |
| Sep 30, 2023 | 143.10 Mn |
| Jun 30, 2023 | 145.93 Mn |
| Mar 31, 2023 | 124.56 Mn |
| Dec 31, 2022 | 123.66 Mn |
| Sep 30, 2022 | 118.80 Mn |
| Jun 30, 2022 | 112.33 Mn |
| Mar 31, 2022 | 155.50 Mn |
| Dec 31, 2021 | 93.27 Mn |
Intellia Therapeutics 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=NTLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NTLA", "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=NTLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();