Solai (SLAIY) Interest Expenses (2013 - 2022)
Solai's Interest Expenses came in at -$218,000 for the year ended Dec 31, 2022, compared with -$775,000 a year earlier.
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Analysis
Solai (SLAIY) Interest Expenses (2013 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2013, Solai's Interest Expenses data covers 6 years.
- Per Business Quant, earlier years put Interest Expenses at -$775,000 in the year ended Dec 31, 2021 and -$57,707 in the year ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 49.20 Bn | 7.90 Bn | - | - |
| 2 | Block | 46.30 Bn | 17.56 Bn | 3.17 Bn | - |
| 3 | Coinbase Global | 36.49 Bn | -3.15 Bn | - | 19.52 Mn |
| 4 | Fiserv | 27.61 Bn | 24.31 Bn | 2.90 Bn | 376.00 Mn |
| 5 | Corpay | 26.86 Bn | 17.06 Bn | - | 114.72 Mn |
| 6 | Global Payments | 26.48 Bn | 4.92 Bn | 2.03 Bn | 277.54 Mn |
| 7 | Iren | 16.76 Bn | 4.35 Bn | 103.89 Mn | 24.47 Mn |
| 8 | Guidewire Software | 13.32 Bn | 9.89 Bn | 269.68 Mn | 3.36 Mn |
| 9 | Jack Henry & Associates | 11.46 Bn | 11.36 Bn | 273.85 Mn | 1.99 Mn |
| 10 | Solai | 2.24 Mn | -5.71 Mn | -2.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -44,000.00 |
| Mar 31, 2022 | -174,000.00 |
| Sep 30, 2021 | -66,000.00 |
| Jun 30, 2021 | -600,000.00 |
| Mar 31, 2021 | -109,000.00 |
| Dec 31, 2015 | -48,000.00 |
| Sep 30, 2015 | -288,000.00 |
| Dec 31, 2014 | 116,008.75 |
| Sep 30, 2014 | -1,000.00 |
| Jun 30, 2014 | -19,000.00 |
| Mar 31, 2014 | -37,000.00 |
| Dec 31, 2013 | -822,000.00 |
| Sep 30, 2013 | -45,455.79 |
| Jun 30, 2013 | -24,706.27 |
API Access
Solai Interest 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=interest-expenses&ticker=SLAIY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SLAIY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=SLAIY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();