ARS Pharmaceuticals (SPRY) Cash & Equivalents (2020 - 2026)
ARS Pharmaceuticals (SPRY) posted Cash & Equivalents of $8.16 million for Q2 2026, down 84.2% from $51.54 million a year earlier and down 66.4% from the prior quarter.
ARS Pharmaceuticals (SPRY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, ARS Pharmaceuticals' Cash & Equivalents came in at $41.32 million, down 18.7% from FY2024.
- Annual Cash & Equivalents has declined for three consecutive years, with a five-year compound annual growth rate of -36.1% (FY2020 to FY2025).
- In prior years, ARS Pharmaceuticals' Cash & Equivalents was $50.82 million in FY2024 (-28.4%), $70.97 million in FY2023 (-66.3%), $210.52 million in FY2022 (+250.5%) and $60.06 million in FY2021 (-84.5%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents in data going back to Q1 2020.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last three quarters, with an average decline of 17.8% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2022, with growth of 250.5%; the weakest was Q4 2021, with a decline of 84.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $24.32 million (Q1 2026), $41.32 million (Q4 2025) and $59.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | ARS Pharmaceuticals | 409.68 Mn | 265.88 Mn | 20.81 Mn | 8.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.16 Mn |
| Mar 31, 2026 | 24.32 Mn |
| Dec 31, 2025 | 41.32 Mn |
| Sep 30, 2025 | 59.56 Mn |
| Jun 30, 2025 | 51.54 Mn |
| Mar 31, 2025 | 39.86 Mn |
| Dec 31, 2024 | 50.82 Mn |
| Sep 30, 2024 | 39.66 Mn |
| Jun 30, 2024 | 36.63 Mn |
| Mar 31, 2024 | 56.01 Mn |
| Dec 31, 2023 | 70.97 Mn |
| Sep 30, 2023 | 60.53 Mn |
| Jun 30, 2023 | 119.02 Mn |
| Mar 31, 2023 | 87.86 Mn |
| Dec 31, 2022 | 210.52 Mn |
| Sep 30, 2022 | 203.22 Mn |
| Jun 30, 2022 | 218.69 Mn |
| Mar 31, 2022 | 233.99 Mn |
| Dec 31, 2021 | 60.06 Mn |
| Sep 30, 2021 | 300.66 Mn |
ARS Pharmaceuticals 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=SPRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SPRY", "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=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();