enGene Therapeutics (ENGN) Operating Expenses (2023 - 2026)
enGene Therapeutics' Operating Expenses came in at $34.01 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 13.6% from $29.95 million a year earlier and up 6.4% from the prior quarter.
enGene Therapeutics (ENGN) Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, enGene Therapeutics reported Operating Expenses of $136.65 million, up 35.1% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $123.17 million, up 97.7% from FY2024.
- Operating Expenses has increased in each of the last three fiscal years, with a three-year compound annual growth rate of 85.1% (FY2022 to FY2025).
- Going back by fiscal year, Operating Expenses was $62.3 million in FY2024 (+139.1%), $26.06 million in FY2023 (+34.1%) and $19.43 million in FY2022.
- The five-year range for quarterly Operating Expenses is $4.63 million (fiscal Q1 2023) to $39.48 million (fiscal Q4 2025).
- Year-over-year, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 65.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 13.6% (fiscal Q3 2026) to 265.4% (fiscal Q2 2024).
- Business Quant data shows ENGN's Operating Expenses at $31.97 million (Q2 2026), $31.19 million (Q1 2026) and $39.48 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | enGene Therapeutics | 130.68 Mn | 130.68 Mn | - | 34.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 34.01 Mn |
| Apr 30, 2026 | 31.97 Mn |
| Jan 31, 2026 | 31.19 Mn |
| Oct 31, 2025 | 39.48 Mn |
| Jul 31, 2025 | 29.95 Mn |
| Apr 30, 2025 | 27.12 Mn |
| Jan 31, 2025 | 26.61 Mn |
| Oct 31, 2024 | 17.46 Mn |
| Jul 31, 2024 | 16.76 Mn |
| Apr 30, 2024 | 17.31 Mn |
| Jan 31, 2024 | 10.77 Mn |
| Oct 31, 2023 | 10.44 Mn |
| Jul 31, 2023 | 6.25 Mn |
| Apr 30, 2023 | 4.74 Mn |
| Jan 31, 2023 | 4.63 Mn |
enGene 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=ENGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ENGN", "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=ENGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();