Intellinetics (INLX) Depreciation & Amortization - Total (2014 - 2025)
Intellinetics' Depreciation & Amortization - Total was $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 & Amortization - Total (2014 - 2025) Analysis & Trends
For FY2025, Depreciation & Amortization - Total at Intellinetics came in at $325,929, up 21.1% from FY2024.
- Depreciation & Amortization - Total has now increased for five consecutive years, with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization - Total was $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 marks the highest quarterly Depreciation & Amortization - Total in data going back to Q1 2014.
- Compared with a year earlier, Depreciation & Amortization - Total has increased for six straight quarters, with growth averaging 13.2% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization - Total over five years was Q1 2021 (growth of 233.2%); the worst was Q4 2022 (a decline of 38.1%).
- Per Business Quant data, INLX's Depreciation & Amortization - Total in the three quarters before Q4 2025 was $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. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | - |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | - |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | - |
| 10 | Intellinetics | 22.62 Mn | 22.62 Mn | - | 87,836.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 47,313.00 |
| Mar 31, 2021 | 40,765.00 |
API Access
Intellinetics Depreciation & Amortization - Total 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-amortization-total&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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-amortization-total&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();