ARS Pharmaceuticals (SPRY) Receivables (2023 - 2026)
ARS Pharmaceuticals (SPRY) posted Receivables of $46.84 million for Q2 2026, up 72.5% from $27.15 million a year earlier and up 63.4% from the prior quarter.
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Analysis
ARS Pharmaceuticals (SPRY) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, ARS Pharmaceuticals' Receivables came in at $25.35 million, up 169.4% from FY2024.
- In prior years, ARS Pharmaceuticals' Receivables was $9.41 million in FY2024 and $652,000 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2023.
- On a year-over-year basis, Receivables has increased in each of the last three quarters.
- According to Business Quant data, Receivables for the three prior quarters was $28.66 million (Q1 2026), $25.35 million (Q4 2025) and $40.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | ARS Pharmaceuticals | 410.68 Mn | 266.88 Mn | 20.81 Mn | 46.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.84 Mn |
| Mar 31, 2026 | 28.66 Mn |
| Dec 31, 2025 | 25.35 Mn |
| Sep 30, 2025 | 40.72 Mn |
| Jun 30, 2025 | 27.15 Mn |
| Mar 31, 2025 | 10.27 Mn |
| Dec 31, 2024 | 9.41 Mn |
| Sep 30, 2024 | 906,000.00 |
| Dec 31, 2023 | 652,000.00 |
API Access
ARS Pharmaceuticals Receivables 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&ticker=SPRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();