enGene Therapeutics (ENGN) Research & Development (2023 - 2026)
enGene Therapeutics' Research & Development came in at $20.09 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 11.0% from $22.58 million a year earlier and down 9.5% from the prior quarter.
enGene Therapeutics (ENGN) Research & Development (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, enGene Therapeutics reported Research & Development of $96.26 million, up 30.0% year-over-year; for FY2025 (ended Oct 31, 2025), it was $94.48 million, up 146.6% from FY2024.
- Research & Development has increased in each of the last three fiscal years, with a three-year compound annual growth rate of 82.8% (FY2022 to FY2025).
- Going back by fiscal year, Research & Development was $38.32 million in FY2024 (+132.8%), $16.46 million in FY2023 (+6.4%) and $15.47 million in FY2022.
- The fiscal Q3 2026 figure represents the lowest quarterly Research & Development since fiscal Q1 2025.
- Year-over-year, Research & Development increased in seven of the last eight quarters, with growth averaging 93.2%.
- The fastest year-over-year change in Research & Development over five years came in fiscal Q1 2025 (growth of 254.3%), and the weakest in fiscal Q3 2026 (a decline of 11.0%).
- Business Quant data shows ENGN's Research & Development at $22.2 million (Q2 2026), $22.26 million (Q1 2026) and $31.72 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 993.80 Mn |
| 10 | enGene Therapeutics | 130.68 Mn | 130.68 Mn | - | 20.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 20.09 Mn |
| Apr 30, 2026 | 22.20 Mn |
| Jan 31, 2026 | 22.26 Mn |
| Oct 31, 2025 | 31.72 Mn |
| Jul 31, 2025 | 22.58 Mn |
| Apr 30, 2025 | 20.21 Mn |
| Jan 31, 2025 | 19.97 Mn |
| Oct 31, 2024 | 11.27 Mn |
| Jul 31, 2024 | 11.55 Mn |
| Apr 30, 2024 | 9.86 Mn |
| Jan 31, 2024 | 5.64 Mn |
| Oct 31, 2023 | 5.67 Mn |
| Jul 31, 2023 | 3.90 Mn |
| Apr 30, 2023 | 3.22 Mn |
| Jan 31, 2023 | 3.67 Mn |
enGene Therapeutics Research & Development 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=research-and-development&ticker=ENGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ENGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();