Replimune (REPL) Total Liabilities (2018 - 2026)
Replimune (REPL) recorded Total Liabilities of $169.16 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 34.1% from $126.11 million a year earlier and up 15.2% from the prior quarter.
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Analysis
Replimune (REPL) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Replimune reported Total Liabilities of $166.23 million, up 22.7% from FY2025.
- Annual Total Liabilities has increased for five straight fiscal years, with a five-year compound annual growth rate of 30.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $135.49 million in FY2025 (+19.7%), $113.21 million in FY2024 (+24.0%), $91.3 million in FY2023 (+82.7%) and $49.96 million in FY2022 (+12.6%).
- The fiscal Q2 2027 figure is the highest quarterly Total Liabilities in data going back to fiscal Q4 2018.
- On a year-over-year basis, Total Liabilities has increased for 20 consecutive quarters, with growth averaging 16.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 1.5% (fiscal Q3 2026) to 86.9% (fiscal Q2 2024).
- Per Business Quant, the preceding three fiscal quarters came in at $146.8 million (Q1 2027), $166.23 million (Q4 2026) and $123.05 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Replimune | 2.40 Bn | 1.35 Bn | - | 169.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 169.16 Mn |
| Jun 30, 2026 | 146.80 Mn |
| Mar 31, 2026 | 166.23 Mn |
| Dec 31, 2025 | 123.05 Mn |
| Sep 30, 2025 | 126.11 Mn |
| Jun 30, 2025 | 132.79 Mn |
| Mar 31, 2025 | 135.49 Mn |
| Dec 31, 2024 | 121.25 Mn |
| Sep 30, 2024 | 116.74 Mn |
| Jun 30, 2024 | 108.51 Mn |
| Mar 31, 2024 | 113.21 Mn |
| Dec 31, 2023 | 111.39 Mn |
| Sep 30, 2023 | 97.23 Mn |
| Jun 30, 2023 | 89.86 Mn |
| Mar 31, 2023 | 91.30 Mn |
| Dec 31, 2022 | 83.21 Mn |
| Sep 30, 2022 | 52.02 Mn |
| Jun 30, 2022 | 49.17 Mn |
| Mar 31, 2022 | 49.96 Mn |
| Dec 31, 2021 | 47.77 Mn |
API Access
Replimune Total 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-liabilities&ticker=REPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();