Stem (STEM) Interest Expenses (2020 - 2026)
Stem (STEM) recorded Interest Expenses of $7.51 million in Q2 2026, up 84.4% from $4.07 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Stem (STEM) Interest Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Stem's Interest Expenses came in at $30.44 million as of Jun 30, 2026, up 75.8% year-over-year; for FY2025, it was $23.93 million, up 30.8% from FY2024.
- Annual Interest Expenses has increased for three straight years, with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $18.29 million in FY2024 (+22.1%), $14.98 million in FY2023 (+43.1%), $10.47 million in FY2022 (-39.8%) and $17.4 million in FY2021 (-16.4%).
- Quarterly Interest Expenses has ranged from $1.78 million in Q1 2023 to $8.3 million in Q4 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for four consecutive quarters, with growth averaging 34.5% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 164.9% in Q1 2024, against a decline of 55.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.36 million (Q1 2026), $8.3 million (Q4 2025) and $7.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 6.05 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 28.10 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -89.29 Mn |
| 10 | Stem | 43.72 Mn | -123.76 Mn | 13.89 Mn | 7.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.51 Mn |
| Mar 31, 2026 | 7.36 Mn |
| Dec 31, 2025 | 8.30 Mn |
| Sep 30, 2025 | 7.27 Mn |
| Jun 30, 2025 | 4.07 Mn |
| Mar 31, 2025 | 4.29 Mn |
| Dec 31, 2024 | 4.44 Mn |
| Sep 30, 2024 | 4.51 Mn |
| Jun 30, 2024 | 4.63 Mn |
| Mar 31, 2024 | 4.71 Mn |
| Dec 31, 2023 | 4.89 Mn |
| Sep 30, 2023 | 4.41 Mn |
| Jun 30, 2023 | 3.90 Mn |
| Mar 31, 2023 | 1.78 Mn |
| Dec 31, 2022 | 2.04 Mn |
| Sep 30, 2022 | 2.52 Mn |
| Jun 30, 2022 | 2.69 Mn |
| Mar 31, 2022 | 3.22 Mn |
| Dec 31, 2021 | 4.56 Mn |
| Sep 30, 2021 | 2.67 Mn |
API Access
Stem Interest 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=interest-expenses&ticker=STEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();