ARS Pharmaceuticals (SPRY) Change in Accured Expenses (2020 - 2026)
ARS Pharmaceuticals' Change in Accured Expenses came in at $10.52 million for Q2 2026, down 17.9% from $12.81 million a year earlier but up 2.0% from the prior quarter.
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Analysis
ARS Pharmaceuticals (SPRY) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ARS Pharmaceuticals reported Change in Accured Expenses of $22.74 million, down 21.5% year-over-year; for FY2025, it was $18.88 million, up 15.0% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 60.2% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $16.41 million in FY2024, -$2.78 million in FY2023, -$10.29 million in FY2022 and $974,000 in FY2021 (-45.6%).
- The five-year range for quarterly Change in Accured Expenses is -$11.42 million (Q4 2022) to $12.81 million (Q2 2025).
- Year-over-year, Change in Accured Expenses increased in five of the last six quarters, with growth averaging 182.7%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2023 (growth of 771.1%), and the weakest in Q1 2022 (a decline of 75.3%).
- Business Quant data shows SPRY's Change in Accured Expenses at $10.32 million (Q1 2026), -$9.06 million (Q4 2025) and $10.96 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | ARS Pharmaceuticals | 404.71 Mn | 260.91 Mn | 20.81 Mn | 10.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.52 Mn |
| Mar 31, 2026 | 10.32 Mn |
| Dec 31, 2025 | -9.06 Mn |
| Sep 30, 2025 | 10.96 Mn |
| Jun 30, 2025 | 12.81 Mn |
| Mar 31, 2025 | 4.17 Mn |
| Dec 31, 2024 | 7.66 Mn |
| Sep 30, 2024 | 4.34 Mn |
| Jun 30, 2024 | 3.07 Mn |
| Mar 31, 2024 | 1.34 Mn |
| Dec 31, 2023 | -8.88 Mn |
| Sep 30, 2023 | 1.12 Mn |
| Jun 30, 2023 | 224,000.00 |
| Mar 31, 2023 | 4.76 Mn |
| Dec 31, 2022 | -11.42 Mn |
| Sep 30, 2022 | 859,000.00 |
| Jun 30, 2022 | -267,000.00 |
| Mar 31, 2022 | 546,000.00 |
| Dec 31, 2021 | -5.45 Mn |
| Sep 30, 2021 | -367,000.00 |
API Access
ARS Pharmaceuticals Change in Accured 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=change-in-accured-expenses&ticker=SPRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();