Replimune (REPL) Enterprise Value (2018 - 2026)
Replimune's Enterprise Value came in at $734.32 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 129.8% from $319.49 million a year earlier and up 101.8% from the prior quarter.
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Analysis
Replimune (REPL) Enterprise Value (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Replimune reported Enterprise Value of -$127.35 million; for FY2026 (ended Mar 31, 2026), it was $363.9 million, up 35.9% from FY2025.
- Enterprise Value carries a five-year compound annual growth rate of -17.4% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $267.77 million in FY2025 (+230.2%), $81.09 million in FY2024 (-80.6%), $417.52 million in FY2023 (+2.3%) and $408.16 million in FY2022 (-56.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Enterprise Value since fiscal Q1 2024.
- Year-over-year, Enterprise Value has increased for three consecutive quarters, with growth averaging 135.1% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2025 (growth of 674.3%), and the weakest in fiscal Q2 2026 (a decline of 98.5%).
- Business Quant data shows REPL's Enterprise Value at $363.9 million (Q4 2026), $504.88 million (Q3 2026) and $4.87 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Replimune | 1.05 Bn | 1.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 734.32 Mn |
| Mar 31, 2026 | 363.90 Mn |
| Dec 31, 2025 | 504.88 Mn |
| Sep 30, 2025 | 4.87 Mn |
| Jun 30, 2025 | 319.49 Mn |
| Mar 31, 2025 | 267.77 Mn |
| Dec 31, 2024 | 396.04 Mn |
| Sep 30, 2024 | 317.55 Mn |
| Jun 30, 2024 | 145.67 Mn |
| Mar 31, 2024 | 81.09 Mn |
| Dec 31, 2023 | 51.15 Mn |
| Sep 30, 2023 | 513.74 Mn |
| Jun 30, 2023 | 830.33 Mn |
| Mar 31, 2023 | 417.52 Mn |
| Dec 31, 2022 | 924.04 Mn |
| Sep 30, 2022 | 487.18 Mn |
| Jun 30, 2022 | 466.66 Mn |
| Mar 31, 2022 | 408.16 Mn |
| Dec 31, 2021 | 859.12 Mn |
| Sep 30, 2021 | 953.02 Mn |
API Access
Replimune Enterprise Value 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=enterprise-value&ticker=REPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "REPL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();