Replimune (REPL) Operating Expenses (2017 - 2026)
Replimune (REPL) posted Operating Expenses of $68.25 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 24.5% from $90.42 million a year earlier and down 6.9% from the prior quarter.
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Analysis
Replimune (REPL) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Replimune was $297.74 million, up 1.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $319.92 million, up 22.3% from FY2025.
- Annual Operating Expenses has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 32.0% (FY2021 to FY2026).
- In prior fiscal years, Replimune's Operating Expenses was $261.63 million in FY2025 (+11.4%), $234.77 million in FY2024 (+32.6%), $177.08 million in FY2023 (+49.7%) and $118.31 million in FY2022 (+48.0%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Expenses since fiscal Q3 2025.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 15.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2023, with growth of 65.7%; the weakest was fiscal Q1 2027, with a decline of 24.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $73.34 million (Q4 2026), $71.87 million (Q3 2026) and $84.29 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Replimune | 1.05 Bn | 1.05 Bn | - | 68.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.25 Mn |
| Mar 31, 2026 | 73.34 Mn |
| Dec 31, 2025 | 71.87 Mn |
| Sep 30, 2025 | 84.29 Mn |
| Jun 30, 2025 | 90.42 Mn |
| Mar 31, 2025 | 79.33 Mn |
| Dec 31, 2024 | 66.02 Mn |
| Sep 30, 2024 | 58.92 Mn |
| Jun 30, 2024 | 57.37 Mn |
| Mar 31, 2024 | 58.76 Mn |
| Dec 31, 2023 | 56.54 Mn |
| Sep 30, 2023 | 63.83 Mn |
| Jun 30, 2023 | 55.65 Mn |
| Mar 31, 2023 | 53.00 Mn |
| Dec 31, 2022 | 41.63 Mn |
| Sep 30, 2022 | 41.58 Mn |
| Jun 30, 2022 | 40.88 Mn |
| Mar 31, 2022 | 31.99 Mn |
| Dec 31, 2021 | 29.70 Mn |
| Sep 30, 2021 | 29.25 Mn |
API Access
Replimune 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=operating-expenses&ticker=REPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();