Replimune (REPL) Total Non-Current Liabilities (2018 - 2026)
Replimune (REPL) recorded Total Non-Current Liabilities of $168.71 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 34.8% from $125.17 million a year earlier and up 15.3% from the prior quarter.
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Analysis
Replimune (REPL) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Replimune reported Total Non-Current Liabilities of $165.77 million, up 23.2% from FY2025.
- Annual Total Non-Current Liabilities has increased for four straight fiscal years, with a four-year compound annual growth rate of 35.0% (FY2022 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $134.54 million in FY2025 (+19.7%), $112.43 million in FY2024 (+23.8%), $90.83 million in FY2023 (+81.8%) and $49.96 million in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2018.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 11 consecutive quarters, with growth averaging 16.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 2.0% (fiscal Q3 2026) to 81.8% (fiscal Q4 2023).
- Per Business Quant, the preceding three fiscal quarters came in at $146.35 million (Q1 2027), $165.77 million (Q4 2026) and $122.36 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Replimune | 2.40 Bn | 1.35 Bn | - | 168.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 168.71 Mn |
| Jun 30, 2026 | 146.35 Mn |
| Mar 31, 2026 | 165.77 Mn |
| Dec 31, 2025 | 122.36 Mn |
| Sep 30, 2025 | 125.17 Mn |
| Jun 30, 2025 | 131.85 Mn |
| Mar 31, 2025 | 134.54 Mn |
| Dec 31, 2024 | 119.99 Mn |
| Sep 30, 2024 | 115.96 Mn |
| Jun 30, 2024 | 107.73 Mn |
| Mar 31, 2024 | 112.43 Mn |
| Dec 31, 2023 | 110.60 Mn |
| Sep 30, 2023 | 96.75 Mn |
| Jun 30, 2023 | 89.28 Mn |
| Mar 31, 2023 | 90.83 Mn |
| Mar 31, 2022 | 49.96 Mn |
| Mar 31, 2019 | 16.45 Mn |
| Dec 31, 2018 | 8.78 Mn |
| Sep 30, 2018 | 3.74 Mn |
| Jun 30, 2018 | 90.86 Mn |
API Access
Replimune Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=REPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();