CS Disco (LAW) Property, Plant & Equipment (Net) (2020 - 2026)
CS Disco's Property, Plant & Equipment (Net) came in at $7.71 million for Q2 2026, up 0.5% from $7.67 million a year earlier and up 4.3% from the prior quarter.
CS Disco (LAW) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, CS Disco's Property, Plant & Equipment (Net) was $7.58 million, down 3.7% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $7.88 million in FY2024 (-18.5%), $9.66 million in FY2023 (+28.7%), $7.51 million in FY2022 (+40.7%) and $5.34 million in FY2021 (+37.7%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $4.95 million (Q3 2021) to $9.66 million (Q4 2023).
- Year-over-year, Property, Plant & Equipment (Net) increased in two of the last eight quarters, with an average decline of 9.2%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2022 (growth of 60.9%), and the weakest in Q1 2025 (a decline of 20.8%).
- Business Quant data shows LAW's Property, Plant & Equipment (Net) at $7.39 million (Q1 2026), $7.58 million (Q4 2025) and $8.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 127.85 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 97.94 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 28.34 Mn |
| 10 | CS Disco | 271.10 Mn | -161.41 Mn | 32.11 Mn | 7.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.71 Mn |
| Mar 31, 2026 | 7.39 Mn |
| Dec 31, 2025 | 7.58 Mn |
| Sep 30, 2025 | 8.03 Mn |
| Jun 30, 2025 | 7.67 Mn |
| Mar 31, 2025 | 7.54 Mn |
| Dec 31, 2024 | 7.88 Mn |
| Sep 30, 2024 | 9.24 Mn |
| Jun 30, 2024 | 9.23 Mn |
| Mar 31, 2024 | 9.52 Mn |
| Dec 31, 2023 | 9.66 Mn |
| Sep 30, 2023 | 9.18 Mn |
| Jun 30, 2023 | 8.64 Mn |
| Mar 31, 2023 | 7.80 Mn |
| Dec 31, 2022 | 7.51 Mn |
| Sep 30, 2022 | 7.49 Mn |
| Jun 30, 2022 | 7.23 Mn |
| Mar 31, 2022 | 5.85 Mn |
| Dec 31, 2021 | 5.34 Mn |
| Sep 30, 2021 | 4.95 Mn |
CS Disco 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=LAW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "LAW", "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=LAW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();