PepGen (PEPG) Operating Expenses (2021 - 2026)
PepGen (PEPG) reported Operating Expenses of $18.94 million for Q2 2026, down 20.9% from $23.93 million a year earlier and unchanged from the prior quarter.
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Analysis
PepGen (PEPG) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, PepGen's Operating Expenses came in at $76.24 million, down 25.8% year-over-year; for FY2025, it came in at $93.61 million, down 4.2% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 36.3% (FY2021 to FY2025).
- By year, Operating Expenses came in at $97.74 million in FY2024 (+15.3%), $84.77 million in FY2023 (+24.1%), $68.3 million in FY2022 (+151.9%) and $27.11 million in FY2021.
- Five-year quarterly Operating Expenses spans a low of $7.21 million in Q4 2021 and a high of $31.32 million in Q1 2025.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with an average decline of 6.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 239.8%); the low point was Q1 2026 (a decline of 39.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.94 million (Q1 2026), $19.71 million (Q4 2025) and $18.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | PepGen | 179.38 Mn | 179.38 Mn | - | 18.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.94 Mn |
| Mar 31, 2026 | 18.94 Mn |
| Dec 31, 2025 | 19.71 Mn |
| Sep 30, 2025 | 18.65 Mn |
| Jun 30, 2025 | 23.93 Mn |
| Mar 31, 2025 | 31.32 Mn |
| Dec 31, 2024 | 24.35 Mn |
| Sep 30, 2024 | 23.17 Mn |
| Jun 30, 2024 | 30.43 Mn |
| Mar 31, 2024 | 19.80 Mn |
| Dec 31, 2023 | 20.81 Mn |
| Sep 30, 2023 | 24.78 Mn |
| Jun 30, 2023 | 21.14 Mn |
| Mar 31, 2023 | 18.03 Mn |
| Dec 31, 2022 | 17.21 Mn |
| Sep 30, 2022 | 19.55 Mn |
| Jun 30, 2022 | 17.64 Mn |
| Mar 31, 2022 | 13.89 Mn |
| Dec 31, 2021 | 7.21 Mn |
| Sep 30, 2021 | 8.08 Mn |
API Access
PepGen Operating Expenses 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=operating-expenses&ticker=PEPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PEPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();