Stem (STEM) Long-Term Debt Repayments (2019 - 2026)
Stem (STEM) recorded Long-Term Debt Repayments of $1.9 million in Q2 2026, down 65.8% from $5.54 million a year earlier and down 32.4% from the prior quarter.
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Analysis
Stem (STEM) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a TTM basis, Stem's Long-Term Debt Repayments came in at $8.51 million as of Jun 30, 2026, down 32.8% year-over-year; for FY2025, it was $12.16 million, up 43.1% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $8.49 million in FY2024 (-91.5%), $99.75 million in FY2023 (+867.9%), $10.31 million in FY2022 (-75.1%) and $41.45 million in FY2021 (+86.4%).
- Quarterly Long-Term Debt Repayments has ranged from $820,000 in Q3 2022 to $97.62 million in Q2 2023 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined for four consecutive quarters, with growth averaging 18.0% over the last six quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 163.7% in Q2 2025, against a decline of 97.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.81 million (Q1 2026), $1.29 million (Q4 2025) and $2.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 160.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | - |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | - |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | - |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | - |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 1.79 Mn |
| 10 | Stem | 30.79 Mn | -136.26 Mn | 13.89 Mn | 1.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.90 Mn |
| Mar 31, 2026 | 2.81 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 5.54 Mn |
| Mar 31, 2025 | 2.82 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 2.81 Mn |
| Jun 30, 2024 | 2.10 Mn |
| Mar 31, 2024 | 2.09 Mn |
| Dec 31, 2023 | 4.92 Mn |
| Sep 30, 2023 | 5.18 Mn |
| Jun 30, 2023 | 102.21 Mn |
| Mar 31, 2023 | 2.23 Mn |
| Dec 31, 2022 | 2.67 Mn |
| Sep 30, 2022 | 820,000.00 |
| Jun 30, 2022 | 2.64 Mn |
| Mar 31, 2022 | 4.18 Mn |
| Dec 31, 2021 | 3.87 Mn |
| Sep 30, 2021 | 1.11 Mn |
API Access
Stem Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=STEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();