ARS Pharmaceuticals (SPRY) Operating Leases (2020 - 2025)
ARS Pharmaceuticals (SPRY) posted Operating Leases of $949,000 for Q3 2025, down 11.5% from the prior quarter.
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Analysis
ARS Pharmaceuticals (SPRY) Operating Leases (2020 - 2025) Analysis & Trends
At the end of FY2023, ARS Pharmaceuticals' Operating Leases came in at $37,000, down 85.3% from FY2022.
- Annual Operating Leases has declined for three consecutive years, with a three-year compound annual growth rate of -74.9% (FY2020 to FY2023).
- In prior years, ARS Pharmaceuticals' Operating Leases was $251,000 in FY2022 (-47.7%), $480,000 in FY2021 (-79.4%) and $2.33 million in FY2020.
- The Q3 2025 figure stands as the lowest quarterly Operating Leases since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | ARS Pharmaceuticals | 410.68 Mn | 266.88 Mn | 20.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 949,000.00 |
| Jun 30, 2025 | 1.07 Mn |
| Dec 31, 2023 | 37,000.00 |
| Sep 30, 2023 | 92,000.00 |
| Jun 30, 2023 | 146,000.00 |
| Mar 31, 2023 | 199,000.00 |
| Dec 31, 2022 | 251,000.00 |
| Jun 30, 2022 | 4.07 Mn |
| Mar 31, 2022 | 4.43 Mn |
| Dec 31, 2021 | 480,000.00 |
| Sep 30, 2021 | 5.08 Mn |
| Jun 30, 2021 | 1.78 Mn |
| Mar 31, 2021 | 2.06 Mn |
| Dec 31, 2020 | 2.33 Mn |
API Access
ARS Pharmaceuticals Operating Leases 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=operating-leases&ticker=SPRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();