ARS Pharmaceuticals (SPRY) Non-Current Assets (2020 - 2026)
ARS Pharmaceuticals (SPRY) recorded Non-Current Assets of $37.99 million in Q2 2026, up 18.6% from $32.04 million a year earlier but down 10.3% from the prior quarter.
ARS Pharmaceuticals (SPRY) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, ARS Pharmaceuticals reported Non-Current Assets of $42.76 million, up 153.6% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 59.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $16.86 million in FY2024, $1.46 million in FY2023 (-60.9%), $3.74 million in FY2022 (+421.6%) and $716,000 in FY2021 (-82.7%).
- Quarterly Non-Current Assets has ranged from $265,000 in Q3 2022 to $51.14 million in Q1 2022 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for four consecutive quarters, with growth averaging 130.7% over the last five quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 681.7% in Q2 2022, against a decline of 99.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.34 million (Q1 2026), $42.76 million (Q4 2025) and $33.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | ARS Pharmaceuticals | 410.68 Mn | 266.88 Mn | 20.81 Mn | 37.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.99 Mn |
| Mar 31, 2026 | 42.34 Mn |
| Dec 31, 2025 | 42.76 Mn |
| Sep 30, 2025 | 33.94 Mn |
| Jun 30, 2025 | 32.04 Mn |
| Mar 31, 2025 | 23.46 Mn |
| Dec 31, 2024 | 16.86 Mn |
| Sep 30, 2024 | 8.81 Mn |
| Jun 30, 2024 | 1.23 Mn |
| Mar 31, 2024 | 1.34 Mn |
| Dec 31, 2023 | 1.46 Mn |
| Sep 30, 2023 | 4.09 Mn |
| Jun 30, 2023 | 3.72 Mn |
| Mar 31, 2023 | 3.84 Mn |
| Dec 31, 2022 | 3.74 Mn |
| Sep 30, 2022 | 265,000.00 |
| Jun 30, 2022 | 30.87 Mn |
| Mar 31, 2022 | 51.14 Mn |
| Dec 31, 2021 | 716,000.00 |
| Sep 30, 2021 | 47.21 Mn |
ARS Pharmaceuticals Non-Current Assets 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=non-current-assets&ticker=SPRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();