Passage BIO (PASG) Operating Expenses (2019 - 2026)
Passage BIO (PASG) posted Operating Expenses of $10.22 million for Q2 2026, down 1.1% from $10.33 million a year earlier but up 15.0% from the prior quarter.
Passage BIO (PASG) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Passage BIO was $38.09 million, down 29.9% year-over-year; for FY2025, it was $43.15 million, down 33.8% from FY2024.
- Annual Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -17.4% (FY2020 to FY2025).
- In prior years, Passage BIO's Operating Expenses was $65.17 million in FY2024 (-36.7%), $103 million in FY2023 (-23.9%), $135.39 million in FY2022 (-23.8%) and $177.73 million in FY2021 (+58.8%).
- Quarterly Operating Expenses has run from a low of $8.66 million in Q3 2025 to a high of $50.16 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last 17 quarters, with an average decline of 28.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 45.3%; the weakest was Q1 2024, with a decline of 49.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $8.88 million (Q1 2026), $10.34 million (Q4 2025) and $8.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Passage BIO | 11.46 Mn | -145.16 Mn | - | 10.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.22 Mn |
| Mar 31, 2026 | 8.88 Mn |
| Dec 31, 2025 | 10.34 Mn |
| Sep 30, 2025 | 8.66 Mn |
| Jun 30, 2025 | 10.33 Mn |
| Mar 31, 2025 | 13.82 Mn |
| Dec 31, 2024 | 14.27 Mn |
| Sep 30, 2024 | 15.91 Mn |
| Jun 30, 2024 | 16.94 Mn |
| Mar 31, 2024 | 18.05 Mn |
| Dec 31, 2023 | 18.45 Mn |
| Sep 30, 2023 | 23.28 Mn |
| Jun 30, 2023 | 25.39 Mn |
| Mar 31, 2023 | 35.88 Mn |
| Dec 31, 2022 | 28.24 Mn |
| Sep 30, 2022 | 26.03 Mn |
| Jun 30, 2022 | 39.81 Mn |
| Mar 31, 2022 | 41.31 Mn |
| Dec 31, 2021 | 50.16 Mn |
| Sep 30, 2021 | 41.60 Mn |
Passage BIO 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=PASG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PASG", "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=PASG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();