Intellinetics (INLX) Depreciation and Depletion (2014 - 2026)
Intellinetics (INLX) recorded Depreciation and Depletion of $87,836 in Q4 2025, up 17.3% from $74,861 a year earlier and up 0.4% from the prior quarter.
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Analysis
Intellinetics (INLX) Depreciation and Depletion (2014 - 2026) Analysis & Trends
For FY2025, Intellinetics reported Depreciation and Depletion of $325,929, up 21.1% from FY2024.
- Annual Depreciation and Depletion has increased for five straight years, with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $269,046 in FY2024 (+5.2%), $255,689 in FY2023 (+11.4%), $229,599 in FY2022 (+16.3%) and $197,457 in FY2021 (+63.3%).
- The Q4 2025 figure is the highest quarterly Depreciation and Depletion in data going back to Q1 2014.
- On a year-over-year basis, Depreciation and Depletion has increased for six consecutive quarters, with growth averaging 13.2% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 233.2% in Q1 2021, against a decline of 38.1% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $87,461 (Q3 2025), $74,317 (Q2 2025) and $76,315 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 3.20 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | - |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 162.00 Mn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | - |
| 10 | Intellinetics | 18.02 Mn | 8.48 Mn | 2.62 Mn | 85,770.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85,770.00 |
| Mar 31, 2026 | 87,104.00 |
| Dec 31, 2025 | 87,836.00 |
| Sep 30, 2025 | 87,461.00 |
| Jun 30, 2025 | 74,317.00 |
| Mar 31, 2025 | 76,315.00 |
| Dec 31, 2024 | 74,861.00 |
| Sep 30, 2024 | 69,036.00 |
| Jun 30, 2024 | 63,321.00 |
| Mar 31, 2024 | 61,828.00 |
| Dec 31, 2023 | 64,485.00 |
| Sep 30, 2023 | 64,590.00 |
| Jun 30, 2023 | 64,675.00 |
| Mar 31, 2023 | 61,939.00 |
| Dec 31, 2022 | 35,622.00 |
| Sep 30, 2022 | 66,286.00 |
| Jun 30, 2022 | 67,699.00 |
| Mar 31, 2022 | 59,991.00 |
| Dec 31, 2021 | 57,574.00 |
| Sep 30, 2021 | 51,804.00 |
API Access
Intellinetics 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=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "INLX", "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=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();