Teradata (TDC) Receivables (2009 - 2026)
Teradata (TDC) posted Receivables of $256 million for Q2 2026, down 12.6% from $293 million a year earlier and down 20.5% from the prior quarter.
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Analysis
Teradata (TDC) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradata's Receivables came in at $255 million, up 6.7% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In prior years, Teradata's Receivables was $239 million in FY2024 (-17.6%), $290 million in FY2023 (-23.7%), $380 million in FY2022 (+12.8%) and $337 million in FY2021 (+0.9%).
- Quarterly Receivables has run from a low of $239 million in Q4 2024 to a high of $380 million in Q4 2022 over five years.
- On a year-over-year basis, Receivables increased in four of the last eight quarters, with growth averaging 1.2%.
- The strongest year-over-year quarter for Receivables in the past five years was Q3 2025, with growth of 25.1%; the weakest was Q4 2023, with a decline of 23.7%.
- According to Business Quant data, Receivables for the three prior quarters was $322 million (Q1 2026), $255 million (Q4 2025) and $309 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Teradata | 2.66 Bn | 526.15 Mn | 243.00 Mn | 256.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 256.00 Mn |
| Mar 31, 2026 | 322.00 Mn |
| Dec 31, 2025 | 255.00 Mn |
| Sep 30, 2025 | 309.00 Mn |
| Jun 30, 2025 | 293.00 Mn |
| Mar 31, 2025 | 307.00 Mn |
| Dec 31, 2024 | 239.00 Mn |
| Sep 30, 2024 | 247.00 Mn |
| Jun 30, 2024 | 248.00 Mn |
| Mar 31, 2024 | 311.00 Mn |
| Dec 31, 2023 | 290.00 Mn |
| Sep 30, 2023 | 286.00 Mn |
| Jun 30, 2023 | 265.00 Mn |
| Mar 31, 2023 | 341.00 Mn |
| Dec 31, 2022 | 380.00 Mn |
| Sep 30, 2022 | 253.00 Mn |
| Jun 30, 2022 | 266.00 Mn |
| Mar 31, 2022 | 330.00 Mn |
| Dec 31, 2021 | 337.00 Mn |
| Sep 30, 2021 | 290.00 Mn |
API Access
Teradata 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=TDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();