PepGen (PEPG) Total Current Liabilities (2021 - 2026)
PepGen's Total Current Liabilities was $9.01 million in Q2 2026, down 45.0% from $16.36 million a year earlier but up 0.5% from the prior quarter.
PepGen (PEPG) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at PepGen came in at $12.65 million, down 24.3% from FY2024.
- Total Current Liabilities has now declined for three consecutive years, though with a four-year compound annual growth rate of 5.2% (FY2021 to FY2025).
- In earlier years, Total Current Liabilities was $16.7 million in FY2024 (-4.8%), $17.53 million in FY2023 (-6.9%), $18.83 million in FY2022 (+82.4%) and $10.32 million in FY2021.
- Quarterly Total Current Liabilities has moved between $8.96 million (Q1 2026) and $22.11 million (Q2 2024) over five years.
- Compared with a year earlier, Total Current Liabilities has declined for five straight quarters, with an average decline of 14.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2022 (growth of 82.4%); the worst was Q1 2026 (a decline of 56.1%).
- Per Business Quant data, PEPG's Total Current Liabilities in the three quarters before Q2 2026 was $8.96 million (Q1 2026), $12.65 million (Q4 2025) and $12.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.92 Bn | 1,105.50 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 617.57 Bn | 536.10 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 501.37 Bn | 474.48 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 367.96 Bn | 322.33 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.98 Bn | 261.97 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.45 Bn | 235.14 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.30 Bn | 191.70 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 190.27 Bn | 164.46 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 169.65 Bn | 116.29 Bn | 10.94 Bn | 32.65 Bn |
| 10 | PepGen | 192.73 Mn | -368.93 Mn | - | 9.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.01 Mn |
| Mar 31, 2026 | 8.96 Mn |
| Dec 31, 2025 | 12.65 Mn |
| Sep 30, 2025 | 12.64 Mn |
| Jun 30, 2025 | 16.36 Mn |
| Mar 31, 2025 | 20.43 Mn |
| Dec 31, 2024 | 16.70 Mn |
| Sep 30, 2024 | 16.81 Mn |
| Jun 30, 2024 | 22.11 Mn |
| Mar 31, 2024 | 11.26 Mn |
| Dec 31, 2023 | 17.53 Mn |
| Sep 30, 2023 | 20.96 Mn |
| Jun 30, 2023 | 16.94 Mn |
| Mar 31, 2023 | 18.03 Mn |
| Dec 31, 2022 | 18.83 Mn |
| Sep 30, 2022 | 15.52 Mn |
| Jun 30, 2022 | 20.58 Mn |
| Mar 31, 2022 | 16.12 Mn |
| Dec 31, 2021 | 10.32 Mn |
PepGen Total 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-current-liabilities&ticker=PEPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=PEPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();