Immutep (IMMP) Operating Expenses (2016 - 2020)
Immutep (IMMP) recorded Operating Expenses of -$6.8 million in the year ended Jun 30, 2026, compared with -$5.54 million a year earlier.
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Analysis
Immutep (IMMP) Operating Expenses (2016 - 2020) Analysis & Trends
Starting with the year ended Jun 30, 2009, Immutep's Operating Expenses history includes 18 years.
- The figure for the year ended Jun 30, 2026 is the lowest annual Operating Expenses since the year ended Jun 30, 2022.
- Per Business Quant data, IMMP's Operating Expenses was -$5.54 million in the year ended Jun 30, 2025, -$5.83 million in the year ended Jun 30, 2024, -$5.8 million in the year ended Jun 30, 2023 and -$5.16 trillion in the year ended Jun 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.34 Bn | 1,100.93 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.91 Bn | 534.44 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 505.47 Bn | 478.59 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.25 Bn | 322.63 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.18 Bn | 262.17 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.22 Bn | 191.62 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.68 Bn | 164.87 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.14 Bn | 116.79 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Immutep | 24.38 Mn | -186.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 97,830.05 |
| Jun 30, 2019 | 165,932.78 |
| Jun 30, 2018 | 373,587.88 |
| Jun 30, 2017 | 14.86 Mn |
| Mar 31, 2017 | -2.33 Mn |
| Jun 30, 2016 | 18.46 Mn |
| Mar 31, 2016 | -1.80 Mn |
API Access
Immutep 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=IMMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IMMP", "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=IMMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();