PepGen (PEPG) Total Liabilities (2021 - 2026)
PepGen (PEPG) reported Total Liabilities of $21.86 million for Q2 2026, down 29.7% from $31.08 million a year earlier and down 2.0% from the prior quarter.
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Analysis
PepGen (PEPG) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, PepGen posted Total Liabilities of $26.46 million, down 18.0% from FY2024.
- Total Liabilities has declined for four consecutive years, with a four-year compound annual growth rate of -37.7% (FY2021 to FY2025).
- By year, Total Liabilities came in at $32.26 million in FY2024 (-6.8%), $34.63 million in FY2023 (-8.4%), $37.81 million in FY2022 (-78.5%) and $175.72 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q3 2022.
- Year over year, Total Liabilities has now declined in each of the last five quarters, with an average decline of 14.6% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2023 (growth of 147.5%); the low point was Q1 2023 (a decline of 80.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $22.32 million (Q1 2026), $26.46 million (Q4 2025) and $26.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | PepGen | 179.38 Mn | 179.38 Mn | - | 21.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.86 Mn |
| Mar 31, 2026 | 22.32 Mn |
| Dec 31, 2025 | 26.46 Mn |
| Sep 30, 2025 | 26.92 Mn |
| Jun 30, 2025 | 31.08 Mn |
| Mar 31, 2025 | 35.59 Mn |
| Dec 31, 2024 | 32.26 Mn |
| Sep 30, 2024 | 32.78 Mn |
| Jun 30, 2024 | 38.47 Mn |
| Mar 31, 2024 | 28.00 Mn |
| Dec 31, 2023 | 34.63 Mn |
| Sep 30, 2023 | 38.41 Mn |
| Jun 30, 2023 | 34.80 Mn |
| Mar 31, 2023 | 36.20 Mn |
| Dec 31, 2022 | 37.81 Mn |
| Sep 30, 2022 | 15.52 Mn |
| Jun 30, 2022 | 20.58 Mn |
| Mar 31, 2022 | 181.47 Mn |
| Dec 31, 2021 | 175.72 Mn |
API Access
PepGen 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=PEPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PEPG", "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=PEPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();