SkyAI (SKYA) Accumulated Expenses (2022 - 2024)
SkyAI (SKYA) reported Accumulated Expenses of $279,326 for Q3 2024, down 44.8% from $505,839 a year earlier but up 20.8% from the prior quarter.
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Analysis
SkyAI (SKYA) Accumulated Expenses (2022 - 2024) Analysis & Trends
At the end of FY2023, SkyAI posted Accumulated Expenses of $476,090, up 52.9% from FY2022.
- By year, Accumulated Expenses came in at $311,458 in FY2022.
- Five-year quarterly Accumulated Expenses spans a low of $231,313 in Q2 2024 and a high of $574,057 in Q2 2023.
- Per Business Quant data, the three quarters before Q3 2024 came in at $231,313 (Q2 2024), $454,654 (Q1 2024) and $476,090 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | SkyAI | 166.49 Mn | 121.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 279,326.00 |
| Jun 30, 2024 | 231,313.00 |
| Mar 31, 2024 | 454,654.00 |
| Dec 31, 2023 | 476,090.00 |
| Sep 30, 2023 | 505,839.00 |
| Jun 30, 2023 | 574,057.00 |
| Dec 31, 2022 | 311,458.00 |
API Access
SkyAI 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=SKYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SKYA", "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=SKYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();