Regenxbio (RGNX) Total Liabilities (2014 - 2026)
Regenxbio (RGNX) posted Total Liabilities of $314.85 million for Q2 2026, down 14.3% from $367.35 million a year earlier and down 1.9% from the prior quarter.
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Analysis
Regenxbio (RGNX) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Regenxbio's Total Liabilities came in at $350.3 million, up 69.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In prior years, Regenxbio's Total Liabilities was $206.34 million in FY2024 (-21.3%), $262.23 million in FY2023 (-17.3%), $317.07 million in FY2022 (-9.3%) and $349.61 million in FY2021 (+5.8%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with growth averaging 23.3%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 170.1%; the weakest was Q4 2024, with a decline of 21.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $320.81 million (Q1 2026), $350.3 million (Q4 2025) and $363.75 million (Q3 2025).
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 | Regenxbio | 418.33 Mn | -341.95 Mn | - | 314.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 314.85 Mn |
| Dec 31, 2025 | 350.30 Mn |
| Sep 30, 2025 | 363.75 Mn |
| Jun 30, 2025 | 367.35 Mn |
| Mar 31, 2025 | 216.73 Mn |
| Dec 31, 2024 | 206.34 Mn |
| Sep 30, 2024 | 217.70 Mn |
| Jun 30, 2024 | 221.11 Mn |
| Mar 31, 2024 | 238.55 Mn |
| Dec 31, 2023 | 262.23 Mn |
| Sep 30, 2023 | 270.69 Mn |
| Jun 30, 2023 | 276.60 Mn |
| Mar 31, 2023 | 282.69 Mn |
| Dec 31, 2022 | 317.07 Mn |
| Sep 30, 2022 | 319.97 Mn |
| Jun 30, 2022 | 322.93 Mn |
| Mar 31, 2022 | 335.70 Mn |
| Dec 31, 2021 | 349.61 Mn |
| Sep 30, 2021 | 338.98 Mn |
| Jun 30, 2021 | 329.16 Mn |
API Access
Regenxbio 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=RGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RGNX", "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=RGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();