Stem (STEM) Non-Current Assets (2019 - 2026)
Stem (STEM) posted Non-Current Assets of $190.45 million for Q2 2026, down 32.0% from $279.99 million a year earlier and down 3.1% from the prior quarter.
Powered by 
Analysis
Stem (STEM) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Stem's Non-Current Assets came in at $208.8 million, down 30.6% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, though with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, Stem's Non-Current Assets was $300.74 million in FY2024 (-66.0%), $884.01 million in FY2023 (-0.6%), $889.14 million in FY2022 (+429.3%) and $167.98 million in FY2021 (+7.3%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q4 2021.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 11 quarters, with an average decline of 40.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2022, with growth of 453.1%; the weakest was Q1 2025, with a decline of 66.5%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $196.59 million (Q1 2026), $208.8 million (Q4 2025) and $268.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Stem | 43.72 Mn | -123.76 Mn | 13.89 Mn | 190.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 190.45 Mn |
| Mar 31, 2026 | 196.59 Mn |
| Dec 31, 2025 | 208.80 Mn |
| Sep 30, 2025 | 268.85 Mn |
| Jun 30, 2025 | 279.99 Mn |
| Mar 31, 2025 | 294.50 Mn |
| Dec 31, 2024 | 300.74 Mn |
| Sep 30, 2024 | 310.31 Mn |
| Jun 30, 2024 | 331.62 Mn |
| Mar 31, 2024 | 879.37 Mn |
| Dec 31, 2023 | 884.01 Mn |
| Sep 30, 2023 | 888.28 Mn |
| Jun 30, 2023 | 890.68 Mn |
| Mar 31, 2023 | 883.05 Mn |
| Dec 31, 2022 | 889.14 Mn |
| Sep 30, 2022 | 880.00 Mn |
| Jun 30, 2022 | 884.97 Mn |
| Mar 31, 2022 | 890.65 Mn |
| Dec 31, 2021 | 167.98 Mn |
| Sep 30, 2021 | 173.29 Mn |
API Access
Stem Non-Current Assets 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=non-current-assets&ticker=STEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();