CS Disco (LAW) Selling, General & Administrative (2020 - 2026)
CS Disco (LAW) recorded Selling, General & Administrative of $9.52 million in Q2 2026, down 13.6% from $11.02 million a year earlier and down 8.4% from the prior quarter.
CS Disco (LAW) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, CS Disco's Selling, General & Administrative came in at $46.82 million as of Jun 30, 2026, up 13.7% year-over-year; for FY2025, it came in at $48.91 million, up 19.2% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $41.05 million in FY2024 (+23.5%), $33.23 million in FY2023 (-18.4%), $40.74 million in FY2022 (+59.0%) and $25.61 million in FY2021 (+84.4%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q4 2024.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last seven quarters, with growth averaging 8.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 172.9% in Q3 2021, against a decline of 98.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.39 million (Q1 2026), $9.99 million (Q4 2025) and $16.92 million (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 | CS Disco | 271.10 Mn | -161.41 Mn | 32.11 Mn | 9.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.52 Mn |
| Mar 31, 2026 | 10.39 Mn |
| Dec 31, 2025 | 9.99 Mn |
| Sep 30, 2025 | 16.92 Mn |
| Jun 30, 2025 | 11.02 Mn |
| Mar 31, 2025 | 10.98 Mn |
| Dec 31, 2024 | 9.51 Mn |
| Sep 30, 2024 | 9.66 Mn |
| Jun 30, 2024 | 10.72 Mn |
| Mar 31, 2024 | 11.16 Mn |
| Dec 31, 2023 | 9.89 Mn |
| Sep 30, 2023 | 128,000.00 |
| Jun 30, 2023 | 10.92 Mn |
| Mar 31, 2023 | 12.30 Mn |
| Dec 31, 2022 | 10.25 Mn |
| Sep 30, 2022 | 10.91 Mn |
| Jun 30, 2022 | 11.07 Mn |
| Mar 31, 2022 | 8.52 Mn |
| Dec 31, 2021 | 8.16 Mn |
| Sep 30, 2021 | 8.27 Mn |
CS Disco 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=LAW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LAW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();