Replimune (REPL) Other Operating Expenses (2021 - 2026)
Replimune (REPL) reported Other Operating Expenses of -$896,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$895,000 a year earlier.
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Analysis
Replimune (REPL) Other Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Replimune's Other Operating Expenses came in at -$1.79 million; for FY2022 (ended Mar 31, 2022), it came in at -$3.43 million.
- By fiscal year, Other Operating Expenses came in at -$3.38 million in FY2021.
- Five-year quarterly Other Operating Expenses spans a low of -$897,000 in fiscal Q2 2026 and a high of -$852,000 in fiscal Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.24 Bn | 1,102.83 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 616.05 Bn | 534.58 Bn | 17.26 Bn |
| 3 | AbbVie | 500.90 Bn | 474.01 Bn | 12.70 Bn |
| 4 | Merck | 367.17 Bn | 321.54 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.35 Bn | 235.03 Bn | 12.86 Bn |
| 7 | Amgen | 235.77 Bn | 191.17 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.70 Bn | 164.90 Bn | 6.22 Bn |
| 9 | Pfizer | 169.35 Bn | 115.99 Bn | 10.94 Bn |
| 10 | Replimune | 1.14 Bn | 80.67 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -896,000.00 |
| Sep 30, 2025 | -897,000.00 |
| Jun 30, 2025 | -895,000.00 |
| Sep 30, 2024 | -892,000.00 |
| Jun 30, 2024 | -888,000.00 |
| Dec 31, 2022 | -859,000.00 |
| Sep 30, 2022 | -859,000.00 |
| Jun 30, 2022 | -866,000.00 |
| Mar 31, 2022 | -874,000.00 |
| Dec 31, 2021 | -856,000.00 |
| Sep 30, 2021 | -852,000.00 |
| Jun 30, 2021 | -849,000.00 |
API Access
Replimune Other 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=other-operating-expenses&ticker=REPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();