Replimune (REPL) Long-Term Debt Repayments (2020 - 2026)
Replimune (REPL) posted Long-Term Debt Repayments of $203,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 22.3% from $166,000 a year earlier and up 2.5% from the prior quarter.
Replimune (REPL) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Replimune was $773,000, up 22.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $736,000, up 22.9% from FY2025.
- Annual Long-Term Debt Repayments has increased for four consecutive fiscal years, though with a five-year compound annual growth rate of -40.7% (FY2021 to FY2026).
- In prior fiscal years, Replimune's Long-Term Debt Repayments was $599,000 in FY2025 (+25.8%), $476,000 in FY2024 (+30.4%), $365,000 in FY2023 (+38.3%) and $264,000 in FY2022 (-97.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Long-Term Debt Repayments since fiscal Q3 2021.
- On a year-over-year basis, Long-Term Debt Repayments has increased in each of the last 17 quarters, with growth averaging 23.7% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q2 2022, with growth of 510.0%; the weakest was fiscal Q3 2022, with a decline of 99.3%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $198,000 (Q4 2026), $195,000 (Q3 2026) and $177,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Replimune | 1.14 Bn | 79.22 Mn | - | 203,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203,000.00 |
| Mar 31, 2026 | 198,000.00 |
| Dec 31, 2025 | 195,000.00 |
| Sep 30, 2025 | 177,000.00 |
| Jun 30, 2025 | 166,000.00 |
| Mar 31, 2025 | 163,000.00 |
| Dec 31, 2024 | 159,000.00 |
| Sep 30, 2024 | 143,000.00 |
| Jun 30, 2024 | 134,000.00 |
| Mar 31, 2024 | 131,000.00 |
| Dec 31, 2023 | 128,000.00 |
| Sep 30, 2023 | 113,000.00 |
| Jun 30, 2023 | 104,000.00 |
| Mar 31, 2023 | 103,000.00 |
| Dec 31, 2022 | 99,000.00 |
| Sep 30, 2022 | 86,000.00 |
| Jun 30, 2022 | 77,000.00 |
| Mar 31, 2022 | 76,000.00 |
| Dec 31, 2021 | 74,000.00 |
| Sep 30, 2021 | 61,000.00 |
Replimune Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=REPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();