Replimune (REPL) Debt Ratio (2023 - 2026)
Replimune's Debt Ratio came in at 0.33 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 234.3% from 0.10 a year earlier and up 32.9% from the prior quarter.
Replimune (REPL) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Replimune's Debt Ratio was 0.25, up 198.0% from FY2025.
- Going back by fiscal year, Debt Ratio was 0.08 in FY2025 (-8.4%), 0.09 in FY2024 (+107.4%) and 0.04 in FY2023.
- The fiscal Q1 2027 figure represents the highest quarterly Debt Ratio in data going back to fiscal Q4 2023.
- Year-over-year, Debt Ratio has increased for five consecutive quarters, with growth averaging 93.6% over the last six quarters.
- Business Quant data shows REPL's Debt Ratio at 0.25 (Q4 2026), 0.14 (Q3 2026) and 0.12 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Replimune | 1.05 Bn | 1.05 Bn | - | 0.33 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.33 |
| Mar 31, 2026 | 0.25 |
| Dec 31, 2025 | 0.14 |
| Sep 30, 2025 | 0.12 |
| Jun 30, 2025 | 0.10 |
| Mar 31, 2025 | 0.08 |
| Dec 31, 2024 | 0.08 |
| Sep 30, 2024 | 0.09 |
| Jun 30, 2024 | 0.08 |
| Mar 31, 2024 | 0.09 |
| Mar 31, 2023 | 0.04 |
Replimune Debt Ratio 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=debt-ratio&ticker=REPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();