Stem (STEM) Accumulated Expenses (2019 - 2026)
Stem (STEM) reported Accumulated Expenses of $21.8 million for Q2 2026, down 28.4% from $30.42 million a year earlier and down 15.1% from the prior quarter.
Stem (STEM) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Stem posted Accumulated Expenses of $26.88 million, up 4.3% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $25.77 million in FY2024 (-66.5%), $76.87 million in FY2023 (-9.8%), $85.26 million in FY2022 (+228.1%) and $25.99 million in FY2021 (+61.7%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q3 2021.
- Year over year, Accumulated Expenses gained in 1 of the last eight quarters, with an average decline of 33.5%.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2022 (growth of 770.9%); the low point was Q4 2024 (a decline of 66.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.67 million (Q1 2026), $26.88 million (Q4 2025) and $29.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.80 Mn |
| Mar 31, 2026 | 25.67 Mn |
| Dec 31, 2025 | 26.88 Mn |
| Sep 30, 2025 | 29.91 Mn |
| Jun 30, 2025 | 30.42 Mn |
| Mar 31, 2025 | 27.85 Mn |
| Dec 31, 2024 | 25.77 Mn |
| Sep 30, 2024 | 57.65 Mn |
| Jun 30, 2024 | 63.36 Mn |
| Mar 31, 2024 | 78.49 Mn |
| Dec 31, 2023 | 76.87 Mn |
| Sep 30, 2023 | 60.62 Mn |
| Jun 30, 2023 | 55.53 Mn |
| Mar 31, 2023 | 59.10 Mn |
| Dec 31, 2022 | 85.26 Mn |
| Sep 30, 2022 | 61.60 Mn |
| Jun 30, 2022 | 33.06 Mn |
| Mar 31, 2022 | 22.79 Mn |
| Dec 31, 2021 | 25.99 Mn |
| Sep 30, 2021 | 14.02 Mn |
Stem Accumulated Expenses 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=accumulated-expenses&ticker=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();