Palantir Technologies (PLTR) Interest Expenses (2019 - 2023)
Palantir Technologies' Interest Expenses came in at $136,000 for Q4 2023, down 92.1% from $1.71 million a year earlier and down 81.7% from the prior quarter.
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Analysis
Palantir Technologies (PLTR) Interest Expenses (2019 - 2023) Analysis & Trends
For FY2023, Palantir Technologies' Interest Expenses was $3.47 million, down 14.5% from FY2022.
- Interest Expenses carries a five-year compound annual growth rate of 0.2% (FY2018 to FY2023).
- Going back by year, Interest Expenses was $4.06 million in FY2022 (+11.5%), $3.64 million in FY2021 (-74.3%), $14.14 million in FY2020 (+361.9%) and $3.06 million in FY2019 (-11.0%).
- The Q4 2023 figure represents the lowest quarterly Interest Expenses in data going back to Q3 2019.
- Year-over-year, Interest Expenses increased in five of the last eight quarters, with growth averaging 37.0%.
- The fastest year-over-year change in Interest Expenses over five years came in Q4 2022 (growth of 184.9%), and the weakest in Q4 2023 (a decline of 92.1%).
- Business Quant data shows PLTR's Interest Expenses at $742,000 (Q3 2023), $1.32 million (Q2 2023) and $1.28 million (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | - |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | -330.17 Mn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 473.00 Mn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 148.10 Mn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 81.00 Mn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 15.38 Mn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | -2.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 136,000.00 |
| Sep 30, 2023 | 742,000.00 |
| Jun 30, 2023 | 1.32 Mn |
| Mar 31, 2023 | 1.28 Mn |
| Dec 31, 2022 | 1.71 Mn |
| Sep 30, 2022 | 1.08 Mn |
| Jun 30, 2022 | 670,000.00 |
| Mar 31, 2022 | 594,000.00 |
| Dec 31, 2021 | 601,000.00 |
| Sep 30, 2021 | 609,000.00 |
| Jun 30, 2021 | 590,000.00 |
| Mar 31, 2021 | 1.84 Mn |
| Dec 31, 2020 | 1.81 Mn |
| Sep 30, 2020 | 2.09 Mn |
| Jun 30, 2020 | 5.65 Mn |
| Mar 31, 2020 | 4.59 Mn |
| Dec 31, 2019 | 2.67 Mn |
| Sep 30, 2019 | 173,000.00 |
API Access
Palantir Technologies Interest 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=interest-expenses&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "PLTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();