Immunome (IMNM) Accumulated Expenses (2019 - 2026)
Immunome (IMNM) posted Accumulated Expenses of $29.72 million for Q2 2026, up 63.1% from $18.22 million a year earlier and up 35.8% from the prior quarter.
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Analysis
Immunome (IMNM) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Immunome's Accumulated Expenses came in at $41.65 million, up 25.5% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 97.9% (FY2020 to FY2025).
- In prior years, Immunome's Accumulated Expenses was $33.18 million in FY2024 (+313.4%), $8.03 million in FY2023 (+62.7%), $4.93 million in FY2022 (-25.9%) and $6.65 million in FY2021 (+384.8%).
- Quarterly Accumulated Expenses has run from a low of $3.31 million in Q1 2023 to a high of $41.65 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 144.5% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2024, with growth of 681.6%; the weakest was Q1 2023, with a decline of 43.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $21.88 million (Q1 2026), $41.65 million (Q4 2025) and $25.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | Immunome | 2.20 Bn | 169.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.72 Mn |
| Mar 31, 2026 | 21.88 Mn |
| Dec 31, 2025 | 41.65 Mn |
| Sep 30, 2025 | 25.30 Mn |
| Jun 30, 2025 | 18.22 Mn |
| Mar 31, 2025 | 17.66 Mn |
| Dec 31, 2024 | 33.18 Mn |
| Sep 30, 2024 | 26.33 Mn |
| Jun 30, 2024 | 20.26 Mn |
| Mar 31, 2024 | 10.84 Mn |
| Dec 31, 2023 | 8.03 Mn |
| Sep 30, 2023 | 3.37 Mn |
| Jun 30, 2023 | 5.03 Mn |
| Mar 31, 2023 | 3.31 Mn |
| Dec 31, 2022 | 4.93 Mn |
| Sep 30, 2022 | 4.23 Mn |
| Jun 30, 2022 | 3.36 Mn |
| Mar 31, 2022 | 5.82 Mn |
| Dec 31, 2021 | 6.65 Mn |
| Sep 30, 2021 | 4.47 Mn |
API Access
Immunome Accumulated 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=accumulated-expenses&ticker=IMNM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IMNM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=IMNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();