Intellinetics, Inc. (INLX) Receivables (2011 - 2025)
Intellinetics' Receivables was $3.39 million in Q4 2025, up 40.7% from $2.41 million a year earlier and up 29.4% from the prior quarter.
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Analysis
Intellinetics, Inc. (INLX) Receivables (2011 - 2025) Analysis & Trends
From Q4 2011 onward, Intellinetics has reported Receivables for 56 quarters.
- Receivables shows a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- In earlier years, Receivables was $2.41 million in FY2024 (-24.1%), $3.17 million in FY2023 (+84.6%), $1.72 million in FY2022 (+6.0%) and $1.62 million in FY2021 (+23.2%).
- The Q4 2025 figure marks the highest quarterly Receivables in data going back to Q4 2011.
- Compared with a year earlier, Receivables was higher in four of the last eight quarters, with growth averaging 7.6%.
- The best year-over-year quarter for Receivables over five years was Q4 2023 (growth of 84.6%); the worst was Q1 2025 (a decline of 26.3%).
- Per Business Quant data, INLX's Receivables in the three quarters before Q4 2025 was $2.62 million (Q3 2025), $2.64 million (Q2 2025) and $2.37 million (Q1 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.39 Mn |
| Sep 30, 2025 | 2.62 Mn |
| Jun 30, 2025 | 2.64 Mn |
| Mar 31, 2025 | 2.37 Mn |
| Dec 31, 2024 | 2.41 Mn |
| Sep 30, 2024 | 2.41 Mn |
| Jun 30, 2024 | 2.93 Mn |
| Mar 31, 2024 | 3.22 Mn |
| Dec 31, 2023 | 3.17 Mn |
| Sep 30, 2023 | 2.60 Mn |
| Jun 30, 2023 | 2.36 Mn |
| Mar 31, 2023 | 2.07 Mn |
| Dec 31, 2022 | 1.72 Mn |
| Sep 30, 2022 | 2.32 Mn |
| Jun 30, 2022 | 2.28 Mn |
| Mar 31, 2022 | 2.36 Mn |
| Dec 31, 2021 | 1.62 Mn |
| Sep 30, 2021 | 1.67 Mn |
| Jun 30, 2021 | 1.51 Mn |
| Mar 31, 2021 | 1.40 Mn |
API Access
Intellinetics, Inc. Receivables 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=receivables&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();