Replimune (REPL) Accumulated Expenses (2018 - 2026)
Replimune (REPL) posted Accumulated Expenses of $30.11 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 24.8% from $40.04 million a year earlier and down 36.6% from the prior quarter.
Replimune (REPL) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Replimune's Accumulated Expenses came in at $47.52 million, up 3.5% from FY2025.
- Annual Accumulated Expenses has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 40.3% (FY2021 to FY2026).
- In prior fiscal years, Replimune's Accumulated Expenses was $45.92 million in FY2025 (+35.1%), $33.98 million in FY2024 (+37.6%), $24.7 million in FY2023 (+84.5%) and $13.39 million in FY2022 (+53.3%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Accumulated Expenses since fiscal Q1 2024.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 13.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2024, with growth of 98.6%; the weakest was fiscal Q1 2027, with a decline of 24.8%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $47.52 million (Q4 2026), $40.37 million (Q3 2026) and $42.45 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Replimune | 1.09 Bn | 1.09 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.11 Mn |
| Mar 31, 2026 | 47.52 Mn |
| Dec 31, 2025 | 40.37 Mn |
| Sep 30, 2025 | 42.45 Mn |
| Jun 30, 2025 | 40.04 Mn |
| Mar 31, 2025 | 45.92 Mn |
| Dec 31, 2024 | 36.76 Mn |
| Sep 30, 2024 | 31.42 Mn |
| Jun 30, 2024 | 30.91 Mn |
| Mar 31, 2024 | 33.98 Mn |
| Dec 31, 2023 | 30.89 Mn |
| Sep 30, 2023 | 31.65 Mn |
| Jun 30, 2023 | 23.56 Mn |
| Mar 31, 2023 | 24.70 Mn |
| Dec 31, 2022 | 19.16 Mn |
| Sep 30, 2022 | 15.94 Mn |
| Jun 30, 2022 | 12.22 Mn |
| Mar 31, 2022 | 13.39 Mn |
| Dec 31, 2021 | 10.75 Mn |
| Sep 30, 2021 | 9.99 Mn |
Replimune Accumulated 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=accumulated-expenses&ticker=REPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();