Palantir Technologies (PLTR) Change in Accrued Expenses (2019 - 2026)
Palantir Technologies (PLTR) posted Change in Accrued Expenses of $116.14 million for Q3 2026, up 174.1% from $42.38 million a year earlier.
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Analysis
Palantir Technologies (PLTR) Change in Accrued Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Palantir Technologies was $118.32 million, down 14.0% year-over-year; for FY2025, it came in at $4.66 million, down 95.2% from FY2024.
- Annual Change in Accrued Expenses shows a five-year compound annual growth rate of -34.5% (FY2020 to FY2025).
- In prior years, Palantir Technologies' Change in Accrued Expenses was $96.79 million in FY2024 (+359.5%), $21.06 million in FY2023 (+281.1%), $5.53 million in FY2022 (-63.7%) and $15.25 million in FY2021 (-60.4%).
- The Q3 2026 figure stands as the highest quarterly Change in Accrued Expenses in data going back to Q4 2019.
- On a year-over-year basis, Change in Accrued Expenses increased in six of the last seven quarters, with growth averaging 141.7%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q1 2025, with growth of 376.1%; the weakest was Q2 2023, with a decline of 72.2%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $7.31 million (Q2 2026), $80.79 million (Q1 2026) and -$85.92 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 116.14 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | -1.08 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 791.49 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 891.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -389.40 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 37.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -4.08 Mn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.14 Mn |
| Jun 30, 2026 | 7.31 Mn |
| Mar 31, 2026 | 80.79 Mn |
| Dec 31, 2025 | -85.92 Mn |
| Sep 30, 2025 | 42.38 Mn |
| Jun 30, 2025 | 25.81 Mn |
| Mar 31, 2025 | 22.40 Mn |
| Dec 31, 2024 | 46.93 Mn |
| Sep 30, 2024 | 27.04 Mn |
| Jun 30, 2024 | 18.12 Mn |
| Mar 31, 2024 | 4.70 Mn |
| Dec 31, 2023 | 18.51 Mn |
| Sep 30, 2023 | -11.23 Mn |
| Jun 30, 2023 | 9.51 Mn |
| Mar 31, 2023 | 4.27 Mn |
| Dec 31, 2022 | 6.36 Mn |
| Sep 30, 2022 | -29.68 Mn |
| Jun 30, 2022 | 34.18 Mn |
| Mar 31, 2022 | -5.33 Mn |
| Dec 31, 2021 | -5.12 Mn |
API Access
Palantir Technologies Change in Accrued 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=change-in-accured-expenses&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();