Palantir Technologies (PLTR) Non Operating Interest Expenses (2019 - 2023)
Palantir Technologies (PLTR) posted Non Operating Interest Expenses of $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) Non Operating Interest Expenses (2019 - 2023) Analysis & Trends
For FY2023, Palantir Technologies' Non Operating Interest Expenses came in at $3.47 million, down 14.5% from FY2022.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 0.2% (FY2018 to FY2023).
- In prior years, Palantir Technologies' Non Operating 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 stands as the lowest quarterly Non Operating Interest Expenses in data going back to Q3 2019.
- On a year-over-year basis, Non Operating Interest Expenses increased in five of the last eight quarters, with growth averaging 37.0%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2022, with growth of 184.9%; the weakest was Q4 2023, with a decline of 92.1%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $742,000 (Q3 2023), $1.32 million (Q2 2023) and $1.28 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | - |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 1.43 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | - |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | -8.00 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 Non Operating 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=non-operating-interest-expenses&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();