ARS Pharmaceuticals (SPRY) Change in Receivables (2024 - 2026)
ARS Pharmaceuticals (SPRY) recorded Change in Receivables of $20.63 million in Q2 2026, up 55.7% from $13.25 million a year earlier.
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Analysis
ARS Pharmaceuticals (SPRY) Change in Receivables (2024 - 2026) Analysis & Trends
On a TTM basis, ARS Pharmaceuticals' Change in Receivables came in at $24.3 million as of Jun 30, 2026, up 7.8% year-over-year; for FY2025, it was $17.21 million, up 110.5% from FY2024.
- Across earlier years, Change in Receivables came in at $8.18 million in FY2024.
- The Q2 2026 figure is the highest quarterly Change in Receivables in data going back to Q3 2024.
- Per Business Quant, the preceding three quarters came in at $839,000 (Q1 2026), -$11.18 million (Q4 2025) and $14.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.35 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.37 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.09 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 333.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 140.20 Mn |
| 10 | ARS Pharmaceuticals | 428.58 Mn | 284.78 Mn | 20.81 Mn | 20.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.63 Mn |
| Mar 31, 2026 | 839,000.00 |
| Dec 31, 2025 | -11.18 Mn |
| Sep 30, 2025 | 14.01 Mn |
| Jun 30, 2025 | 13.25 Mn |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 7.40 Mn |
| Sep 30, 2024 | 773,000.00 |
API Access
ARS Pharmaceuticals Change in 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=change-in-receivables&ticker=SPRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();