Teradata (TDC) Other Operating Expenses (2009 - 2016)
Teradata (TDC) reported Other Operating Expenses of $9 million for FY2024, down 85.9% from $64 million in FY2023.
Analysis
Teradata (TDC) Other Operating Expenses (2009 - 2016) Analysis & Trends
Dating back to FY2009, Teradata's Other Operating Expenses record includes 16 years.
- Other Operating Expenses has a five-year compound annual growth rate of 0.0% (FY2019 to FY2024).
- According to Business Quant data, Other Operating Expenses came in at $64 million in FY2023 (+52.4%), $42 million in FY2022 (+121.1%), $19 million in FY2021 (+11.8%) and $17 million in FY2020 (+88.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Teradata | 2.68 Bn | 552.19 Mn | 243.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -823.00 Mn |
| Sep 30, 2016 | 258.00 Mn |
| Jun 30, 2016 | 289.00 Mn |
| Mar 31, 2016 | 356.00 Mn |
| Dec 31, 2015 | 492.00 Mn |
| Sep 30, 2015 | 299.00 Mn |
| Jun 30, 2015 | 636.00 Mn |
| Mar 31, 2015 | 305.00 Mn |
| Dec 31, 2014 | 336.00 Mn |
| Sep 30, 2014 | 317.00 Mn |
| Jun 30, 2014 | 305.00 Mn |
| Mar 31, 2014 | 295.00 Mn |
| Dec 31, 2013 | 338.00 Mn |
| Sep 30, 2013 | 308.00 Mn |
| Jun 30, 2013 | 291.00 Mn |
| Mar 31, 2013 | 282.00 Mn |
| Dec 31, 2012 | 330.00 Mn |
| Sep 30, 2012 | 286.00 Mn |
| Jun 30, 2012 | 283.00 Mn |
| Mar 31, 2012 | 275.00 Mn |
API Access
Teradata Other Operating Expenses 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=other-operating-expenses&ticker=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();