Stem (STEM) EBITDA Margin (2020 - 2026)
Stem's EBITDA Margin was 11.19% in Q2 2026, up 16.65 percentage points from -5.46% a year earlier and up 24.06 percentage points from the prior quarter.
Stem (STEM) EBITDA Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stem's EBITDA Margin was 1.04% through Jun 30, 2026, up 117.11 percentage points year-over-year; for FY2025, it was -6.87%, up 542.61 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +80.30 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was -549.49% in FY2024 (-520.66 pp), -28.83% in FY2023 (-5.22 pp), -23.61% in FY2022 (+22.40 pp) and -46.01% in FY2021 (+41.17 pp).
- The Q2 2026 figure marks the highest quarterly EBITDA Margin in data going back to Q2 2020.
- Compared with a year earlier, EBITDA Margin has increased for six straight quarters, with an average year-over-year change of +244.02 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2025 (a gain of 1666.47 percentage points); the worst was Q2 2024 (a drop of 1646.54 percentage points).
- Per Business Quant data, STEM's EBITDA Margin in the three quarters before Q2 2026 was -12.87% (Q1 2026), 7.43% (Q4 2025) and -5.21% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 11.58% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 40.40% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -8.70% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 4.19% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 8.76% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 20.62% |
| 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 | 11.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.19% |
| Mar 31, 2026 | -12.87% |
| Dec 31, 2025 | 7.43% |
| Sep 30, 2025 | -5.21% |
| Jun 30, 2025 | -5.46% |
| Mar 31, 2025 | -31.23% |
| Dec 31, 2024 | -63.38% |
| Sep 30, 2024 | -455.57% |
| Jun 30, 2024 | -1,671.93% |
| Mar 31, 2024 | -224.60% |
| Dec 31, 2023 | -12.45% |
| Sep 30, 2023 | -42.66% |
| Jun 30, 2023 | -25.39% |
| Mar 31, 2023 | -46.80% |
| Dec 31, 2022 | -13.11% |
| Sep 30, 2022 | -21.53% |
| Jun 30, 2022 | -26.38% |
| Mar 31, 2022 | -63.83% |
| Dec 31, 2021 | -40.41% |
| Sep 30, 2021 | -34.71% |
Stem EBITDA Margin 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=ebitda-margin&ticker=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();