Stem (STEM) Non-Current Deffered Revenue (2020 - 2026)
Stem's Non-Current Deffered Revenue came in at $81.63 million for Q2 2026, down 3.1% from $84.27 million a year earlier and down 1.7% from the prior quarter.
Stem (STEM) Non-Current Deffered Revenue (2020 - 2026) Analysis & Trends
At the end of FY2025, Stem's Non-Current Deffered Revenue was $85.25 million, down 0.8% from FY2024.
- Non-Current Deffered Revenue carries a five-year compound annual growth rate of 40.7% (FY2020 to FY2025).
- Going back by year, Non-Current Deffered Revenue was $85.9 million in FY2024 (-3.1%), $88.65 million in FY2023 (+20.2%), $73.76 million in FY2022 (+160.8%) and $28.29 million in FY2021 (+82.9%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Deffered Revenue since Q2 2023.
- Year-over-year, Non-Current Deffered Revenue has declined for seven consecutive quarters, with an average decline of 1.9% over the last eight quarters.
- The fastest year-over-year change in Non-Current Deffered Revenue over five years came in Q1 2022 (growth of 377.1%), and the weakest in Q2 2025 (a decline of 5.3%).
- Business Quant data shows STEM's Non-Current Deffered Revenue at $83.03 million (Q1 2026), $85.25 million (Q4 2025) and $85.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 7.01 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.35 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.83 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 27.76 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 50.86 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 30.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 385.66 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 445.27 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Stem | 40.83 Mn | -126.64 Mn | 13.89 Mn | 81.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.63 Mn |
| Mar 31, 2026 | 83.03 Mn |
| Dec 31, 2025 | 85.25 Mn |
| Sep 30, 2025 | 85.82 Mn |
| Jun 30, 2025 | 84.27 Mn |
| Mar 31, 2025 | 85.99 Mn |
| Dec 31, 2024 | 85.90 Mn |
| Sep 30, 2024 | 86.80 Mn |
| Jun 30, 2024 | 88.94 Mn |
| Mar 31, 2024 | 88.41 Mn |
| Dec 31, 2023 | 88.65 Mn |
| Sep 30, 2023 | 83.03 Mn |
| Jun 30, 2023 | 78.74 Mn |
| Mar 31, 2023 | 72.57 Mn |
| Dec 31, 2022 | 73.76 Mn |
| Sep 30, 2022 | 69.25 Mn |
| Jun 30, 2022 | 65.85 Mn |
| Mar 31, 2022 | 64.05 Mn |
| Dec 31, 2021 | 28.29 Mn |
| Sep 30, 2021 | 21.74 Mn |
Stem Non-Current Deffered Revenue 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-deffered-revenue&ticker=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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-deffered-revenue&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();