Rocket Pharmaceuticals (RCKT) Total Liabilities (2014 - 2026)
Rocket Pharmaceuticals (RCKT) posted Total Liabilities of $54.27 million for Q2 2026, down 18.7% from $66.77 million a year earlier but up 14.6% from the prior quarter.
Rocket Pharmaceuticals (RCKT) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Rocket Pharmaceuticals' Total Liabilities came in at $53.23 million, down 17.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- In prior years, Rocket Pharmaceuticals' Total Liabilities was $64.47 million in FY2024 (-12.6%), $73.77 million in FY2023 (+18.7%), $62.12 million in FY2022 (+46.9%) and $42.3 million in FY2021 (-51.6%).
- Quarterly Total Liabilities has run from a low of $42.3 million in Q4 2021 to a high of $73.77 million in Q4 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 7.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 46.9%; the weakest was Q1 2022, with a decline of 55.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $47.37 million (Q1 2026), $53.23 million (Q4 2025) and $54.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Rocket Pharmaceuticals | 283.71 Mn | 283.71 Mn | - | 54.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.27 Mn |
| Mar 31, 2026 | 47.37 Mn |
| Dec 31, 2025 | 53.23 Mn |
| Sep 30, 2025 | 54.36 Mn |
| Jun 30, 2025 | 66.77 Mn |
| Mar 31, 2025 | 58.93 Mn |
| Dec 31, 2024 | 64.47 Mn |
| Sep 30, 2024 | 63.92 Mn |
| Jun 30, 2024 | 61.78 Mn |
| Mar 31, 2024 | 57.94 Mn |
| Dec 31, 2023 | 73.77 Mn |
| Sep 30, 2023 | 57.68 Mn |
| Jun 30, 2023 | 58.81 Mn |
| Mar 31, 2023 | 55.88 Mn |
| Dec 31, 2022 | 62.12 Mn |
| Sep 30, 2022 | 49.95 Mn |
| Jun 30, 2022 | 44.16 Mn |
| Mar 31, 2022 | 42.53 Mn |
| Dec 31, 2021 | 42.30 Mn |
| Sep 30, 2021 | 44.58 Mn |
Rocket Pharmaceuticals 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=RCKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RCKT", "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=RCKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();