Stem (STEM) Non-Current Debt (2020 - 2026)
Stem (STEM) reported Non-Current Debt of $135.21 million for Q2 2026, up 6.7% from $126.71 million a year earlier and up 0.7% from the prior quarter.
Analysis
Stem (STEM) Non-Current Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Stem posted Non-Current Debt of $128.8 million, up 209.4% from FY2024.
- Non-Current Debt has a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $41.63 million in FY2024 (-20.0%), $52.01 million in FY2023 (-18.6%), $63.87 million in FY2022 (-12.8%) and $73.2 million in FY2021 (+0.1%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Debt in data going back to Q4 2020.
- Year over year, Non-Current Debt has now increased in each of the last five quarters, with growth averaging 96.1% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q1 2026 (growth of 261.6%); the low point was Q1 2025 (a decline of 24.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $134.27 million (Q1 2026), $128.8 million (Q4 2025) and $127.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (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 | 746.22 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 496.90 Mn |
| 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 | 1.73 Bn |
| 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 | 3.06 Bn |
| 10 | Stem | 43.72 Mn | -123.76 Mn | 13.89 Mn | 135.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.21 Mn |
| Mar 31, 2026 | 134.27 Mn |
| Dec 31, 2025 | 128.80 Mn |
| Sep 30, 2025 | 127.61 Mn |
| Jun 30, 2025 | 126.71 Mn |
| Mar 31, 2025 | 37.14 Mn |
| Dec 31, 2024 | 41.63 Mn |
| Sep 30, 2024 | 44.66 Mn |
| Jun 30, 2024 | 47.37 Mn |
| Mar 31, 2024 | 49.22 Mn |
| Dec 31, 2023 | 52.01 Mn |
| Sep 30, 2023 | 54.31 Mn |
| Jun 30, 2023 | 58.90 Mn |
| Mar 31, 2023 | 61.07 Mn |
| Dec 31, 2022 | 63.87 Mn |
| Sep 30, 2022 | 65.31 Mn |
| Jun 30, 2022 | 67.10 Mn |
| Mar 31, 2022 | 70.40 Mn |
| Dec 31, 2021 | 73.20 Mn |
| Sep 30, 2021 | 75.38 Mn |
API Access
Stem Non-Current Debt 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-debt&ticker=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();