Teradata (TDC) Operating Expenses (2009 - 2026)
Teradata (TDC) recorded Operating Expenses of $195 million in Q2 2026, down 5.3% from $206 million a year earlier and down 37.5% from the prior quarter.
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Analysis
Teradata (TDC) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Teradata's Operating Expenses came in at $901 million as of Jun 30, 2026, up 12.3% year-over-year; for FY2025, it was $782 million, down 7.9% from FY2024.
- Annual Operating Expenses has declined for three straight years, with a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $849 million in FY2024 (-8.6%), $929 million in FY2023 (-3.5%), $963 million in FY2022 (+0.8%) and $955 million in FY2021 (-4.8%).
- Quarterly Operating Expenses has ranged from $182 million in Q1 2025 to $312 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with growth averaging 2.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 71.4% in Q1 2026, against a decline of 22.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $312 million (Q1 2026), $202 million (Q4 2025) and $192 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Teradata | 2.66 Bn | 526.15 Mn | 243.00 Mn | 195.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.00 Mn |
| Mar 31, 2026 | 312.00 Mn |
| Dec 31, 2025 | 202.00 Mn |
| Sep 30, 2025 | 192.00 Mn |
| Jun 30, 2025 | 206.00 Mn |
| Mar 31, 2025 | 182.00 Mn |
| Dec 31, 2024 | 204.00 Mn |
| Sep 30, 2024 | 210.00 Mn |
| Jun 30, 2024 | 199.00 Mn |
| Mar 31, 2024 | 236.00 Mn |
| Dec 31, 2023 | 231.00 Mn |
| Sep 30, 2023 | 232.00 Mn |
| Jun 30, 2023 | 243.00 Mn |
| Mar 31, 2023 | 223.00 Mn |
| Dec 31, 2022 | 252.00 Mn |
| Sep 30, 2022 | 234.00 Mn |
| Jun 30, 2022 | 244.00 Mn |
| Mar 31, 2022 | 233.00 Mn |
| Dec 31, 2021 | 244.00 Mn |
| Sep 30, 2021 | 245.00 Mn |
API Access
Teradata 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=operating-expenses&ticker=TDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();