Replimune (REPL) Rent Expense (2021 - 2026)
Replimune's Rent Expense came in at $289,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.3% from $288,000 a year earlier.
Replimune (REPL) Rent Expense (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Replimune reported Rent Expense of $1.15 million, up 4.2% year-over-year; for FY2022 (ended Mar 31, 2022), it came in at $1 million, up 5.8% from FY2021.
- Going back by fiscal year, Rent Expense was $948,000 in FY2021.
- The five-year range for quarterly Rent Expense is $245,000 (fiscal Q2 2022) to $290,000 (fiscal Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (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 | - | 289,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 289,000.00 |
| Sep 30, 2025 | 290,000.00 |
| Jun 30, 2025 | 288,000.00 |
| Sep 30, 2024 | 285,000.00 |
| Jun 30, 2024 | 281,000.00 |
| Dec 31, 2022 | 252,000.00 |
| Sep 30, 2022 | 252,000.00 |
| Jun 30, 2022 | 259,000.00 |
| Mar 31, 2022 | 267,000.00 |
| Dec 31, 2021 | 249,000.00 |
| Sep 30, 2021 | 245,000.00 |
| Jun 30, 2021 | 242,000.00 |
Replimune Rent Expense 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=rent-expense&ticker=REPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();