Teradata (TDC) Other Accumulated Expenses (2009 - 2026)
Teradata (TDC) posted Other Accumulated Expenses of $91 million for Q2 2026, up 2.2% from $89 million a year earlier but down 32.1% from the prior quarter.
Powered by 
Analysis
Teradata (TDC) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradata's Other Accumulated Expenses came in at $88 million, down 23.5% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- In prior years, Teradata's Other Accumulated Expenses was $115 million in FY2024 (+9.5%), $105 million in FY2023 (-6.3%), $112 million in FY2022 (+25.8%) and $89 million in FY2021 (-10.1%).
- Quarterly Other Accumulated Expenses has run from a low of $78 million in Q3 2022 to a high of $134 million in Q1 2026 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in five of the last eight quarters, with growth averaging 1.5%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2022, with growth of 25.8%; the weakest was Q4 2025, with a decline of 23.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $134 million (Q1 2026), $88 million (Q4 2025) and $99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Teradata | 2.80 Bn | 672.16 Mn | 243.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.00 Mn |
| Mar 31, 2026 | 134.00 Mn |
| Dec 31, 2025 | 88.00 Mn |
| Sep 30, 2025 | 99.00 Mn |
| Jun 30, 2025 | 89.00 Mn |
| Mar 31, 2025 | 128.00 Mn |
| Dec 31, 2024 | 115.00 Mn |
| Sep 30, 2024 | 114.00 Mn |
| Jun 30, 2024 | 99.00 Mn |
| Mar 31, 2024 | 105.00 Mn |
| Dec 31, 2023 | 105.00 Mn |
| Sep 30, 2023 | 95.00 Mn |
| Jun 30, 2023 | 88.00 Mn |
| Mar 31, 2023 | 100.00 Mn |
| Dec 31, 2022 | 112.00 Mn |
| Sep 30, 2022 | 78.00 Mn |
| Jun 30, 2022 | 79.00 Mn |
| Mar 31, 2022 | 82.00 Mn |
| Dec 31, 2021 | 89.00 Mn |
| Sep 30, 2021 | 81.00 Mn |
API Access
Teradata Other Accumulated 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-accumulated-expenses&ticker=TDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();