Rezolute (RZLT) Operating Expenses (2010 - 2026)
Rezolute (RZLT) reported Operating Expenses of $21.56 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 16.6% from $25.85 million a year earlier but up 24.2% from the prior quarter.
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Analysis
Rezolute (RZLT) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Rezolute posted Operating Expenses of $82.97 million, up 3.8% from FY2025.
- Operating Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 29.4% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $79.89 million in FY2025 (+13.4%), $70.42 million in FY2024 (+25.8%), $55.99 million in FY2023 (+33.8%) and $41.84 million in FY2022 (+82.8%).
- Five-year quarterly Operating Expenses spans a low of $7.64 million in fiscal Q1 2022 and a high of $25.85 million in fiscal Q4 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 10.4%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2022 (growth of 110.9%); the low point was fiscal Q4 2026 (a decline of 16.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $17.37 million (Q3 2026), $24.22 million (Q2 2026) and $19.82 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Rezolute | 384.46 Mn | -128.77 Mn | - | 21.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.56 Mn |
| Mar 31, 2026 | 17.37 Mn |
| Dec 31, 2025 | 24.22 Mn |
| Sep 30, 2025 | 19.82 Mn |
| Jun 30, 2025 | 25.85 Mn |
| Mar 31, 2025 | 20.02 Mn |
| Dec 31, 2024 | 17.08 Mn |
| Sep 30, 2024 | 16.94 Mn |
| Jun 30, 2024 | 23.10 Mn |
| Mar 31, 2024 | 16.21 Mn |
| Dec 31, 2023 | 15.19 Mn |
| Sep 30, 2023 | 15.91 Mn |
| Jun 30, 2023 | 14.24 Mn |
| Mar 31, 2023 | 17.14 Mn |
| Dec 31, 2022 | 14.39 Mn |
| Sep 30, 2022 | 10.22 Mn |
| Jun 30, 2022 | 11.30 Mn |
| Mar 31, 2022 | 10.75 Mn |
| Dec 31, 2021 | 12.15 Mn |
| Sep 30, 2021 | 7.64 Mn |
API Access
Rezolute 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=RZLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RZLT", "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=RZLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();