Vor Biopharma (VOR) Operating Expenses (2020 - 2026)
Vor Biopharma's Operating Expenses came in at $47.85 million for Q2 2026, down 82.6% from $274.28 million a year earlier but up 36.1% from the prior quarter.
Vor Biopharma (VOR) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vor Biopharma reported Operating Expenses of $147.08 million, down 60.0% year-over-year; for FY2025, it came in at $371.64 million, up 206.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 53.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $121.19 million in FY2024 (-3.8%), $126.04 million in FY2023 (+34.9%), $93.42 million in FY2022 (+35.4%) and $69.02 million in FY2021 (+59.2%).
- The five-year range for quarterly Operating Expenses is $18.31 million (Q4 2021) to $274.28 million (Q2 2025).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 97.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2025 (growth of 844.7%), and the weakest in Q2 2026 (a decline of 82.6%).
- Business Quant data shows VOR's Operating Expenses at $35.16 million (Q1 2026), $35.96 million (Q4 2025) and $28.11 million (Q3 2025) in the three quarters before Q2 2026.
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 | Vor Biopharma | 997.08 Mn | 997.08 Mn | - | 47.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.85 Mn |
| Mar 31, 2026 | 35.16 Mn |
| Dec 31, 2025 | 35.96 Mn |
| Sep 30, 2025 | 28.11 Mn |
| Jun 30, 2025 | 274.28 Mn |
| Mar 31, 2025 | 33.29 Mn |
| Dec 31, 2024 | 31.31 Mn |
| Sep 30, 2024 | 28.51 Mn |
| Jun 30, 2024 | 29.04 Mn |
| Mar 31, 2024 | 32.33 Mn |
| Dec 31, 2023 | 28.12 Mn |
| Sep 30, 2023 | 35.32 Mn |
| Jun 30, 2023 | 32.17 Mn |
| Mar 31, 2023 | 30.42 Mn |
| Dec 31, 2022 | 24.73 Mn |
| Sep 30, 2022 | 24.10 Mn |
| Jun 30, 2022 | 21.79 Mn |
| Mar 31, 2022 | 22.80 Mn |
| Dec 31, 2021 | 18.31 Mn |
| Sep 30, 2021 | 18.60 Mn |
Vor Biopharma 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=VOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VOR", "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=VOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();