Quince Therapeutics (QNCX) Cash & Equivalents (2018 - 2026)
IRulya Therapeutics (QNCX) posted Cash & Equivalents of $115.98 million for Q2 2026, up 589.3% from $16.83 million a year earlier and up 538.6% from the prior quarter.
Quince Therapeutics (QNCX) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, IRulya Therapeutics' Cash & Equivalents came in at $5.81 million, down 6.5% from FY2024.
- Annual Cash & Equivalents has declined for four consecutive years, with a five-year compound annual growth rate of -38.7% (FY2020 to FY2025).
- In prior years, IRulya Therapeutics' Cash & Equivalents was $6.21 million in FY2024 (-70.1%), $20.75 million in FY2023 (-53.4%), $44.58 million in FY2022 (-36.1%) and $69.72 million in FY2021 (+4.3%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q1 2018.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 93.6%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2026, with growth of 589.3%; the weakest was Q3 2024, with a decline of 87.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $18.16 million (Q1 2026), $5.81 million (Q4 2025) and $6.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 976.00 Mn |
| 10 | IRulya Therapeutics | 201.34 Mn | 229.15 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.98 Mn |
| Mar 31, 2026 | 18.16 Mn |
| Dec 31, 2025 | 5.81 Mn |
| Sep 30, 2025 | 6.45 Mn |
| Jun 30, 2025 | 16.83 Mn |
| Mar 31, 2025 | 7.77 Mn |
| Dec 31, 2024 | 6.21 Mn |
| Sep 30, 2024 | 2.68 Mn |
| Jun 30, 2024 | 7.89 Mn |
| Mar 31, 2024 | 21.81 Mn |
| Dec 31, 2023 | 20.75 Mn |
| Sep 30, 2023 | 21.63 Mn |
| Jun 30, 2023 | 22.65 Mn |
| Mar 31, 2023 | 46.71 Mn |
| Dec 31, 2022 | 44.58 Mn |
| Sep 30, 2022 | 31.81 Mn |
| Jun 30, 2022 | 46.93 Mn |
| Mar 31, 2022 | 67.56 Mn |
| Dec 31, 2021 | 69.72 Mn |
| Sep 30, 2021 | 62.21 Mn |
Quince Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=QNCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "QNCX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=QNCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();