Teradata (TDC) Receivables - Other (2009 - 2025)
Teradata's Receivables - Other came in at $4 million for Q4 2025, down 20.0% from $5 million a year earlier.
Analysis
Teradata (TDC) Receivables - Other (2009 - 2025) Analysis & Trends
Going back to Q4 2009, Teradata's Receivables - Other data covers 17 quarters.
- Receivables - Other carries a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Going back by year, Receivables - Other was $5 million in FY2024 (+25.0%), $4 million in FY2023 (-75.0%), $16 million in FY2022 and $1 million in FY2021 (-66.7%).
- The five-year range for quarterly Receivables - Other is $1 million (Q4 2021) to $16 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Teradata | 2.66 Bn | 526.15 Mn | 243.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 16.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Dec 31, 2020 | 3.00 Mn |
| Dec 31, 2019 | 8.00 Mn |
| Dec 31, 2018 | 12.00 Mn |
| Dec 31, 2017 | 7.00 Mn |
| Dec 31, 2016 | 6.00 Mn |
| Dec 31, 2015 | 6.00 Mn |
| Dec 31, 2014 | 3.00 Mn |
| Dec 31, 2013 | 4.00 Mn |
| Dec 31, 2012 | 3.00 Mn |
| Dec 31, 2011 | 8.00 Mn |
| Dec 31, 2010 | 3.00 Mn |
| Dec 31, 2009 | 4.00 Mn |
API Access
Teradata Receivables - Other 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-other&ticker=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "ticker": "TDC", "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-other&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();