Stem (STEM) Cash & Equivalents (2020 - 2026)
Stem (STEM) reported Cash & Equivalents of $38.42 million for Q2 2026, down 5.8% from $40.79 million a year earlier but up 5.0% from the prior quarter.
Stem (STEM) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Stem posted Cash & Equivalents of $48.92 million, down 13.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 47.8% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $56.3 million in FY2024 (-46.6%), $105.38 million in FY2023 (+19.9%), $87.9 million in FY2022 (-88.2%) and $747.78 million in FY2021.
- Five-year quarterly Cash & Equivalents spans a low of $36.6 million in Q1 2026 and a high of $747.78 million in Q4 2021.
- Year over year, Cash & Equivalents has now declined in each of the last eight quarters, with an average decline of 33.8% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2023 (growth of 19.9%); the low point was Q4 2022 (a decline of 88.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36.6 million (Q1 2026), $48.92 million (Q4 2025) and $43.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 3.61 Bn |
| 10 | Stem | 40.83 Mn | -126.64 Mn | 13.89 Mn | 38.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.42 Mn |
| Mar 31, 2026 | 36.60 Mn |
| Dec 31, 2025 | 48.92 Mn |
| Sep 30, 2025 | 43.12 Mn |
| Jun 30, 2025 | 40.79 Mn |
| Mar 31, 2025 | 58.58 Mn |
| Dec 31, 2024 | 56.30 Mn |
| Sep 30, 2024 | 75.36 Mn |
| Jun 30, 2024 | 89.65 Mn |
| Mar 31, 2024 | 112.80 Mn |
| Dec 31, 2023 | 105.38 Mn |
| Sep 30, 2023 | 97.06 Mn |
| Jun 30, 2023 | 75.41 Mn |
| Mar 31, 2023 | 117.88 Mn |
| Dec 31, 2022 | 87.90 Mn |
| Sep 30, 2022 | 100.10 Mn |
| Jun 30, 2022 | 151.00 Mn |
| Mar 31, 2022 | 174.54 Mn |
| Dec 31, 2021 | 747.78 Mn |
| Sep 30, 2021 | 405.20 Mn |
Stem Cash & Equivalents 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=cash-and-equivalents&ticker=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();