Kiora Pharmaceuticals (KPRX) Receivables - Net (2024 - 2026)
Kiora Pharmaceuticals' Receivables - Net was $1.09 million in Q2 2026, down 54.9% from $2.42 million a year earlier and down 29.3% from the prior quarter.
Powered by 
Analysis
Kiora Pharmaceuticals (KPRX) Receivables - Net (2024 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Kiora Pharmaceuticals came in at $1.52 million, up 153.3% from FY2024.
- In earlier years, Receivables - Net was $601,197 in FY2024.
- The Q2 2026 figure marks the lowest quarterly Receivables - Net since Q4 2024.
- Compared with a year earlier, Receivables - Net was higher in four of the last six quarters, with growth averaging 127.8%.
- Per Business Quant data, KPRX's Receivables - Net in the three quarters before Q2 2026 was $1.54 million (Q1 2026), $1.52 million (Q4 2025) and $1.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Kiora Pharmaceuticals | 14.34 Mn | -52.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Mn |
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 1.52 Mn |
| Sep 30, 2025 | 1.21 Mn |
| Jun 30, 2025 | 2.42 Mn |
| Mar 31, 2025 | 1.34 Mn |
| Dec 31, 2024 | 601,197.00 |
| Sep 30, 2024 | 1.78 Mn |
| Jun 30, 2024 | 1.34 Mn |
| Mar 31, 2024 | 189,905.00 |
API Access
Kiora Pharmaceuticals Receivables - Net 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=receivables-net&ticker=KPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=KPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();