Stem (STEM) Change in Intangibles (2020 - 2026)
Stem's Change in Intangibles was $1.21 million in Q2 2026, up 15.9% from $1.04 million a year earlier but down 10.2% from the prior quarter.
Stem (STEM) Change in Intangibles (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stem's Change in Intangibles was $4.53 million through Jun 30, 2026, down 51.2% year-over-year; for FY2025, it was $6.6 million, down 41.4% from FY2024.
- Change in Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Change in Intangibles was $11.28 million in FY2024 (-20.0%), $14.1 million in FY2023 (-15.9%), $16.77 million in FY2022 (+180.9%) and $5.97 million in FY2021 (+2.4%).
- Quarterly Change in Intangibles has moved between $927,000 (Q4 2025) and $4.57 million (Q3 2022) over five years.
- Compared with a year earlier, Change in Intangibles was higher in two of the last eight quarters, with an average decline of 35.2%.
- The best year-over-year quarter for Change in Intangibles over five years was Q2 2022 (growth of 212.6%); the worst was Q2 2025 (a decline of 66.8%).
- Per Business Quant data, STEM's Change in Intangibles in the three quarters before Q2 2026 was $1.35 million (Q1 2026), $927,000 (Q4 2025) and $1.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 26.52 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | - |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | - |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 27.28 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 6.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Stem | 40.83 Mn | -126.64 Mn | 13.89 Mn | 1.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Mn |
| Mar 31, 2026 | 1.35 Mn |
| Dec 31, 2025 | 927,000.00 |
| Sep 30, 2025 | 1.05 Mn |
| Jun 30, 2025 | 1.04 Mn |
| Mar 31, 2025 | 3.58 Mn |
| Dec 31, 2024 | 2.41 Mn |
| Sep 30, 2024 | 2.26 Mn |
| Jun 30, 2024 | 3.15 Mn |
| Mar 31, 2024 | 3.46 Mn |
| Dec 31, 2023 | 3.97 Mn |
| Sep 30, 2023 | 2.74 Mn |
| Jun 30, 2023 | 3.82 Mn |
| Mar 31, 2023 | 3.57 Mn |
| Dec 31, 2022 | 4.12 Mn |
| Sep 30, 2022 | 4.57 Mn |
| Jun 30, 2022 | 4.55 Mn |
| Mar 31, 2022 | 3.54 Mn |
| Dec 31, 2021 | 1.72 Mn |
| Sep 30, 2021 | 1.56 Mn |
Stem Change in Intangibles 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=change-in-intangibles&ticker=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "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=change-in-intangibles&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();