Specificity (SPTY) Total Liabilities (2020 - 2026)
Specificity (SPTY) recorded Total Liabilities of $2.36 million in Q2 2026, up 1.4% from $2.32 million a year earlier and up 3.4% from the prior quarter.
Powered by 
Analysis
Specificity (SPTY) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Specificity reported Total Liabilities of $2.26 million, up 3.9% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 113.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $2.18 million in FY2024 (+10.2%), $1.98 million in FY2023 (+40.5%), $1.41 million in FY2022 (+20.1%) and $1.17 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased for 16 consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 0.6% (Q1 2026) and 51.2% (Q2 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $2.28 million (Q1 2026), $2.26 million (Q4 2025) and $2.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 2.07 Bn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 236.06 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | 29.71 Bn |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 71.24 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 58.36 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 18.73 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | 16.65 Bn |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 21.71 Bn |
| 10 | Specificity | 2.47 Mn | 2.43 Mn | 118,436.00 | 2.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.36 Mn |
| Mar 31, 2026 | 2.28 Mn |
| Dec 31, 2025 | 2.26 Mn |
| Sep 30, 2025 | 2.28 Mn |
| Jun 30, 2025 | 2.32 Mn |
| Mar 31, 2025 | 2.27 Mn |
| Dec 31, 2024 | 2.18 Mn |
| Sep 30, 2024 | 1.97 Mn |
| Jun 30, 2024 | 1.90 Mn |
| Mar 31, 2024 | 1.87 Mn |
| Dec 31, 2023 | 1.98 Mn |
| Sep 30, 2023 | 1.93 Mn |
| Jun 30, 2023 | 1.87 Mn |
| Mar 31, 2023 | 1.72 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.56 Mn |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 1.17 Mn |
| Sep 30, 2021 | 1.05 Mn |
API Access
Specificity Total Liabilities 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=total-liabilities&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();