Stem (STEM) Depreciation and Depletion (2020 - 2026)
Stem (STEM) posted Depreciation and Depletion of $2.9 million for Q2 2026, down 6.5% from $3.1 million a year earlier and unchanged from the prior quarter.
Stem (STEM) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Stem was $12 million, down 9.1% year-over-year; for FY2025, it was $12.5 million, down 6.7% from FY2024.
- Annual Depreciation and Depletion has declined for three consecutive years, with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In prior years, Stem's Depreciation and Depletion was $13.4 million in FY2024 (-6.9%), $14.4 million in FY2023 (-3.4%), $14.9 million in FY2022 (+3.5%) and $14.4 million in FY2021 (+3.6%).
- Quarterly Depreciation and Depletion has run from a low of $2.9 million in Q1 2026 to a high of $4.3 million in Q1 2022 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last five quarters, with an average decline of 6.1% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2022, with growth of 13.2%; the weakest was Q1 2024, with a decline of 16.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $2.9 million (Q1 2026), $3.1 million (Q4 2025) and $3.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | - |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Stem | 40.83 Mn | -126.64 Mn | 13.89 Mn | 2.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.90 Mn |
| Mar 31, 2026 | 2.90 Mn |
| Dec 31, 2025 | 3.10 Mn |
| Sep 30, 2025 | 3.10 Mn |
| Jun 30, 2025 | 3.10 Mn |
| Mar 31, 2025 | 3.20 Mn |
| Dec 31, 2024 | 3.40 Mn |
| Sep 30, 2024 | 3.50 Mn |
| Jun 30, 2024 | 3.50 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 3.60 Mn |
| Sep 30, 2023 | 3.60 Mn |
| Jun 30, 2023 | 3.60 Mn |
| Mar 31, 2023 | 3.60 Mn |
| Dec 31, 2022 | 3.70 Mn |
| Sep 30, 2022 | 3.80 Mn |
| Jun 30, 2022 | 3.70 Mn |
| Mar 31, 2022 | 4.30 Mn |
| Dec 31, 2021 | 3.60 Mn |
| Sep 30, 2021 | 3.60 Mn |
Stem Depreciation and Depletion 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=depreciation-and-depletion&ticker=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();