Specificity (SPTY) Long-Term Debt Repayments (2020 - 2026)
Specificity (SPTY) reported Long-Term Debt Repayments of $73,250 for Q1 2026, up 26.6% from $57,855 a year earlier.
Powered by 
Analysis
Specificity (SPTY) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Specificity's Long-Term Debt Repayments came in at $306,959; for FY2023, it was $194,903.
- Five-year quarterly Long-Term Debt Repayments spans a low of $9,010 in Q3 2023 and a high of $158,013 in Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 4.20 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | -204.78 Mn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 176.00 Mn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 300,000.00 |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | - |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | - |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 449,000.00 |
| 10 | Specificity | 3.56 Mn | 3.51 Mn | 118,436.00 | 168,304.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168,304.00 |
| Mar 31, 2026 | 73,250.00 |
| Dec 31, 2025 | -652,234.00 |
| Sep 30, 2025 | 50,854.00 |
| Jun 30, 2025 | 125,000.00 |
| Mar 31, 2025 | 57,855.00 |
| Dec 31, 2023 | 154,972.00 |
| Sep 30, 2023 | 12,051.00 |
| Dec 31, 2022 | -30,286.00 |
| Mar 31, 2021 | -30,000.00 |
| Dec 31, 2020 | -20,000.00 |
API Access
Specificity Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SPTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();