Specificity (SPTY) Selling, General & Administrative (2021 - 2026)
Specificity's Selling, General & Administrative was $131,263 in Q2 2026, down 8.5% from $143,433 a year earlier and down 10.3% from the prior quarter.
Specificity (SPTY) Selling, General & Administrative (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Specificity's Selling, General & Administrative was $515,656 through Jun 30, 2026, down 34.0% year-over-year; for FY2025, it was $581,930, down 22.0% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 60.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $746,080 in FY2024 (+8.5%), $687,394 in FY2023 (-39.5%), $1.14 million in FY2022 (-9.6%) and $1.26 million in FY2021.
- Quarterly Selling, General & Administrative has moved between -$786,259 (Q4 2022) and $1.34 million (Q1 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative has declined for four straight quarters, with an average decline of 3.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2022 (growth of 572.7%); the worst was Q1 2023 (a decline of 88.7%).
- Per Business Quant data, SPTY's Selling, General & Administrative in the three quarters before Q2 2026 was $146,298 (Q1 2026), $132,497 (Q4 2025) and $105,598 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 376.00 Mn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Specificity | 4.45 Mn | 4.40 Mn | 118,436.00 | 131,263.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131,263.00 |
| Mar 31, 2026 | 146,298.00 |
| Dec 31, 2025 | 132,497.00 |
| Sep 30, 2025 | 105,598.00 |
| Jun 30, 2025 | 143,433.00 |
| Mar 31, 2025 | 204,149.00 |
| Dec 31, 2024 | 215,088.00 |
| Sep 30, 2024 | 218,129.00 |
| Jun 30, 2024 | 109,268.00 |
| Mar 31, 2024 | 203,595.00 |
| Dec 31, 2023 | 140,253.00 |
| Sep 30, 2023 | 185,419.00 |
| Jun 30, 2023 | 211,297.00 |
| Mar 31, 2023 | 150,425.00 |
| Dec 31, 2022 | -786,259.00 |
| Sep 30, 2022 | 587,611.00 |
| Jun 30, 2022 | 587,611.00 |
| Mar 31, 2022 | 1.34 Mn |
| Dec 31, 2021 | 552,400.00 |
| Sep 30, 2021 | 260,112.00 |
Specificity Selling, General & Administrative 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=selling-general-and-administrative&ticker=SPTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();