Unicycive Therapeutics (UNCY) Operating Expenses (2020 - 2026)
Unicycive Therapeutics' Operating Expenses came in at $10.14 million for Q2 2026, up 45.6% from $6.96 million a year earlier and up 20.2% from the prior quarter.
Unicycive Therapeutics (UNCY) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Unicycive Therapeutics reported Operating Expenses of $33.14 million, up 8.8% year-over-year; for FY2025, it was $29.52 million, down 8.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 71.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $32.12 million in FY2024 (+49.7%), $21.45 million in FY2023 (+12.9%), $19 million in FY2022 (+111.7%) and $8.98 million in FY2021 (+344.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2020.
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 9.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 653.2%), and the weakest in Q4 2025 (a decline of 22.0%).
- Business Quant data shows UNCY's Operating Expenses at $8.44 million (Q1 2026), $7.22 million (Q4 2025) and $7.34 million (Q3 2025) in the three quarters before Q2 2026.
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 | Unicycive Therapeutics | 104.17 Mn | -95.81 Mn | - | 10.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.14 Mn |
| Mar 31, 2026 | 8.44 Mn |
| Dec 31, 2025 | 7.22 Mn |
| Sep 30, 2025 | 7.34 Mn |
| Jun 30, 2025 | 6.96 Mn |
| Mar 31, 2025 | 7.99 Mn |
| Dec 31, 2024 | 9.26 Mn |
| Sep 30, 2024 | 6.25 Mn |
| Jun 30, 2024 | 7.40 Mn |
| Mar 31, 2024 | 9.20 Mn |
| Dec 31, 2023 | 6.31 Mn |
| Sep 30, 2023 | 5.94 Mn |
| Jun 30, 2023 | 4.32 Mn |
| Mar 31, 2023 | 4.88 Mn |
| Dec 31, 2022 | 5.33 Mn |
| Sep 30, 2022 | 6.51 Mn |
| Jun 30, 2022 | 3.64 Mn |
| Mar 31, 2022 | 3.54 Mn |
| Dec 31, 2021 | 2.75 Mn |
| Sep 30, 2021 | 4.72 Mn |
Unicycive Therapeutics 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=UNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UNCY", "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=UNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();