Specificity (SPTY) Property, Plant & Equipment (Net) (2020 - 2026)
Specificity (SPTY) posted Property, Plant & Equipment (Net) of $1,730 for Q2 2026, up 197.3% from $582.00 a year earlier and up 492.5% from the prior quarter.
Specificity (SPTY) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Specificity's Property, Plant & Equipment (Net) came in at $367.00, down 64.9% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for four consecutive years, with a five-year compound annual growth rate of -62.6% (FY2020 to FY2025).
- In prior years, Specificity's Property, Plant & Equipment (Net) was $1,047 in FY2024 (-81.8%), $5,745 in FY2023 (-46.5%), $10,739 in FY2022 (-84.8%) and $70,423 in FY2021 (+40.8%).
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in 1 of the last eight quarters, with an average decline of 43.9%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2026, with growth of 197.3%; the weakest was Q3 2024, with a decline of 96.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $292.00 (Q1 2026), $367.00 (Q4 2025) and $442.00 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - | 127.85 Bn |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn | 5.14 Bn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - | 96.75 Mn |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - | 342.00 Mn |
| 10 | Specificity | 5.87 Mn | 5.82 Mn | 118,436.00 | 1,730.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,730.00 |
| Mar 31, 2026 | 292.00 |
| Dec 31, 2025 | 367.00 |
| Sep 30, 2025 | 442.00 |
| Jun 30, 2025 | 582.00 |
| Mar 31, 2025 | 770.00 |
| Dec 31, 2024 | 1,047.00 |
| Sep 30, 2024 | 2,000.00 |
| Jun 30, 2024 | 3,248.00 |
| Mar 31, 2024 | 4,497.00 |
| Dec 31, 2023 | 5,745.00 |
| Sep 30, 2023 | 62,888.00 |
| Jun 30, 2023 | 65,528.00 |
| Mar 31, 2023 | 68,139.00 |
| Dec 31, 2022 | 10,739.00 |
| Sep 30, 2022 | 73,362.00 |
| Jun 30, 2022 | 74,861.00 |
| Mar 31, 2022 | 77,384.00 |
| Dec 31, 2021 | 70,423.00 |
| Sep 30, 2021 | 50,000.00 |
Specificity Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SPTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();