Stem (STEM) Selling, General & Administrative (2019 - 2026)
Stem (STEM) posted Selling, General & Administrative of $8.21 million for Q2 2026, down 7.8% from $8.9 million a year earlier and down 5.3% from the prior quarter.
Stem (STEM) Selling, General & Administrative (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Stem was $46.04 million, down 39.5% year-over-year; for FY2025, it came in at $51.63 million, down 41.4% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- In prior years, Stem's Selling, General & Administrative was $88.07 million in FY2024 (+17.6%), $74.92 million in FY2023 (-2.7%), $77.03 million in FY2022 (+85.0%) and $41.65 million in FY2021 (+183.2%).
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q1 2021.
- On a year-over-year basis, Selling, General & Administrative has declined in each of the last six quarters, with an average decline of 14.9% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q1 2022, with growth of 662.0%; the weakest was Q3 2025, with a decline of 53.9%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $8.67 million (Q1 2026), $16.63 million (Q4 2025) and $12.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 677.00 Mn |
| 10 | Stem | 40.83 Mn | -126.64 Mn | 13.89 Mn | 8.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.21 Mn |
| Mar 31, 2026 | 8.67 Mn |
| Dec 31, 2025 | 16.63 Mn |
| Sep 30, 2025 | 12.54 Mn |
| Jun 30, 2025 | 8.90 Mn |
| Mar 31, 2025 | 13.57 Mn |
| Dec 31, 2024 | 26.45 Mn |
| Sep 30, 2024 | 27.21 Mn |
| Jun 30, 2024 | 15.85 Mn |
| Mar 31, 2024 | 18.56 Mn |
| Dec 31, 2023 | 16.26 Mn |
| Sep 30, 2023 | 21.96 Mn |
| Jun 30, 2023 | 18.90 Mn |
| Mar 31, 2023 | 17.80 Mn |
| Dec 31, 2022 | 22.81 Mn |
| Sep 30, 2022 | 18.01 Mn |
| Jun 30, 2022 | 15.69 Mn |
| Mar 31, 2022 | 20.51 Mn |
| Dec 31, 2021 | 12.92 Mn |
| Sep 30, 2021 | 11.02 Mn |
Stem 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=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "STEM", "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=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();