ARS Pharmaceuticals (SPRY) Accumulated Expenses (2020 - 2022)
ARS Pharmaceuticals (SPRY) posted Accumulated Expenses of $12 million for Q4 2022, up 2.3% from $11.73 million a year earlier and up 228.9% from the prior quarter.
Powered by 
Analysis
ARS Pharmaceuticals (SPRY) Accumulated Expenses (2020 - 2022) Analysis & Trends
Since Q4 2020, ARS Pharmaceuticals has reported Accumulated Expenses for 9 quarters.
- In prior years, ARS Pharmaceuticals' Accumulated Expenses was $11.73 million in FY2021 (+122.2%) and $5.28 million in FY2020.
- The Q4 2022 figure stands as the highest quarterly Accumulated Expenses since Q3 2021.
- On a year-over-year basis, Accumulated Expenses increased in two of the last five quarters, with an average decline of 26.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $3.65 million (Q3 2022), $597,000 (Q2 2022) and $404,000 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 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 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | ARS Pharmaceuticals | 428.58 Mn | 284.78 Mn | 20.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 12.00 Mn |
| Sep 30, 2022 | 3.65 Mn |
| Jun 30, 2022 | 597,000.00 |
| Mar 31, 2022 | 404,000.00 |
| Dec 31, 2021 | 11.73 Mn |
| Sep 30, 2021 | 12.54 Mn |
| Jun 30, 2021 | 12.79 Mn |
| Mar 31, 2021 | 5.80 Mn |
| Dec 31, 2020 | 5.28 Mn |
API Access
ARS Pharmaceuticals Accumulated Expenses 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=accumulated-expenses&ticker=SPRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();