Stem (STEM) Other Non-Current Liabilities (2019 - 2026)
Stem's Other Non-Current Liabilities was $4.39 million in Q2 2026, down 87.6% from $35.3 million a year earlier but up 0.5% from the prior quarter.
Stem (STEM) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Stem came in at $5.12 million, down 85.5% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $35.4 million in FY2024 (+773.7%), $4.05 million in FY2023 (-4.9%), $4.26 million in FY2022 (+3.1%) and $4.14 million in FY2021 (unchanged).
- Quarterly Other Non-Current Liabilities has moved between $4.05 million (Q4 2023) and $35.41 million (Q1 2025) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has declined for three straight quarters, with growth averaging 348.5% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q4 2024 (growth of 773.7%); the worst was Q2 2022 (a decline of 98.6%).
- Per Business Quant data, STEM's Other Non-Current Liabilities in the three quarters before Q2 2026 was $4.37 million (Q1 2026), $5.12 million (Q4 2025) and $35.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Stem | 43.72 Mn | -123.76 Mn | 13.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.39 Mn |
| Mar 31, 2026 | 4.37 Mn |
| Dec 31, 2025 | 5.12 Mn |
| Sep 30, 2025 | 35.19 Mn |
| Jun 30, 2025 | 35.30 Mn |
| Mar 31, 2025 | 35.41 Mn |
| Dec 31, 2024 | 35.40 Mn |
| Sep 30, 2024 | 4.15 Mn |
| Jun 30, 2024 | 4.12 Mn |
| Mar 31, 2024 | 4.07 Mn |
| Dec 31, 2023 | 4.05 Mn |
| Sep 30, 2023 | 4.09 Mn |
| Jun 30, 2023 | 4.08 Mn |
| Mar 31, 2023 | 4.22 Mn |
| Dec 31, 2022 | 4.26 Mn |
| Sep 30, 2022 | 4.26 Mn |
| Jun 30, 2022 | 4.22 Mn |
| Mar 31, 2022 | 4.17 Mn |
| Dec 31, 2021 | 4.14 Mn |
| Sep 30, 2021 | 4.15 Mn |
Stem Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();