Kiora Pharmaceuticals (KPRX) Operating Expenses (2014 - 2026)
Kiora Pharmaceuticals (KPRX) posted Operating Expenses of $2.21 million for Q2 2026, down 7.6% from $2.4 million a year earlier and down 11.8% from the prior quarter.
Kiora Pharmaceuticals (KPRX) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Kiora Pharmaceuticals was $12.83 million, up 17.8% year-over-year; for FY2025, it came in at $12.83 million, up 11.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, Kiora Pharmaceuticals' Operating Expenses was $11.51 million in FY2024 (-8.6%), $12.59 million in FY2023 (+2.3%), $12.31 million in FY2022 (-13.5%) and $14.24 million in FY2021 (+106.9%).
- Quarterly Operating Expenses has run from a low of $794,437 in Q3 2025 to a high of $7.31 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with growth averaging 8.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 439.2%; the weakest was Q3 2025, with a decline of 77.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.51 million (Q1 2026), $7.31 million (Q4 2025) and $794,437 (Q3 2025).
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 | Kiora Pharmaceuticals | 14.34 Mn | -52.98 Mn | - | 2.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21 Mn |
| Mar 31, 2026 | 2.51 Mn |
| Dec 31, 2025 | 7.31 Mn |
| Sep 30, 2025 | 794,437.00 |
| Jun 30, 2025 | 2.40 Mn |
| Mar 31, 2025 | 2.33 Mn |
| Dec 31, 2024 | 2.56 Mn |
| Sep 30, 2024 | 3.60 Mn |
| Jun 30, 2024 | 2.56 Mn |
| Mar 31, 2024 | 2.78 Mn |
| Dec 31, 2023 | 2.12 Mn |
| Sep 30, 2023 | 5.92 Mn |
| Jun 30, 2023 | 2.63 Mn |
| Mar 31, 2023 | 1.92 Mn |
| Dec 31, 2022 | 2.63 Mn |
| Sep 30, 2022 | 3.70 Mn |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | 3.57 Mn |
| Dec 31, 2021 | 6.37 Mn |
| Sep 30, 2021 | 3.04 Mn |
Kiora Pharmaceuticals 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=KPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KPRX", "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=KPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();