Sitime (SITM) Depreciation and Depletion (2019 - 2026)
Sitime (SITM) reported Depreciation and Depletion of $7.7 million for Q3 2026, up 26.2% from $6.1 million a year earlier and up 10.0% from the prior quarter.
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Analysis
Sitime (SITM) Depreciation and Depletion (2019 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Sitime's Depreciation and Depletion came in at $27.6 million, up 26.6% year-over-year; for FY2025, it was $23.6 million, up 46.6% from FY2024.
- Depreciation and Depletion has increased for six consecutive years, with a five-year compound annual growth rate of 44.9% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $16.1 million in FY2024 (+21.1%), $13.3 million in FY2023 (+31.7%), $10.1 million in FY2022 (+77.2%) and $5.7 million in FY2021 (+54.1%).
- The Q3 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q1 2019.
- Year over year, Depreciation and Depletion has now increased in each of the last 15 quarters, with growth averaging 36.5% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2022 (growth of 285.7%); the low point was Q4 2022 (a decline of 23.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $7 million (Q2 2026), $6.4 million (Q1 2026) and $6.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 6.81 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 171.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | - |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 3.04 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Sitime | 13.43 Bn | 9.59 Bn | 154.12 Mn | 7.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.70 Mn |
| Jun 30, 2026 | 7.00 Mn |
| Mar 31, 2026 | 6.40 Mn |
| Dec 31, 2025 | 6.50 Mn |
| Sep 30, 2025 | 6.10 Mn |
| Jun 30, 2025 | 5.90 Mn |
| Mar 31, 2025 | 5.10 Mn |
| Dec 31, 2024 | 4.70 Mn |
| Sep 30, 2024 | 4.00 Mn |
| Jun 30, 2024 | 3.80 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 3.50 Mn |
| Sep 30, 2023 | 3.30 Mn |
| Jun 30, 2023 | 3.30 Mn |
| Mar 31, 2023 | 3.20 Mn |
| Dec 31, 2022 | 2.90 Mn |
| Sep 30, 2022 | 2.70 Mn |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | 2.10 Mn |
| Dec 31, 2021 | 3.80 Mn |
API Access
Sitime 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=SITM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SITM", "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=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();