Texas Instruments (TXN) Change in Accrued Expenses (2009 - 2026)
Texas Instruments (TXN) recorded Change in Accrued Expenses of $135 million in Q3 2026, up 11.6% from $121 million a year earlier but down 4.9% from the prior quarter.
Texas Instruments (TXN) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Texas Instruments' Change in Accrued Expenses came in at $41 million as of Sep 30, 2026, down 65.3% year-over-year; for FY2025, it was $77 million, down 38.4% from FY2024.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Change in Accrued Expenses came in at $125 million in FY2024, -$33 million in FY2023, $106 million in FY2022 (+221.2%) and $33 million in FY2021 (-47.6%).
- Quarterly Change in Accrued Expenses has ranged from -$447 million in Q1 2026 to $252 million in Q4 2024 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in three of the last six quarters, with growth averaging 42.5%.
- Peak year-over-year performance for Change in Accrued Expenses in the last five years was growth of 293.8% in Q4 2024, against a decline of 70.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $142 million (Q2 2026), -$447 million (Q1 2026) and $211 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 1.06 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 252.00 Mn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -619.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 5.38 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 323.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 165.00 Mn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Texas Instruments | 277.42 Bn | 252.29 Bn | 3.89 Bn | 135.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 135.00 Mn |
| Jun 30, 2026 | 142.00 Mn |
| Mar 31, 2026 | -447.00 Mn |
| Dec 31, 2025 | 211.00 Mn |
| Sep 30, 2025 | 121.00 Mn |
| Jun 30, 2025 | 172.00 Mn |
| Mar 31, 2025 | -427.00 Mn |
| Dec 31, 2024 | 252.00 Mn |
| Sep 30, 2024 | 149.00 Mn |
| Jun 30, 2024 | 168.00 Mn |
| Mar 31, 2024 | -444.00 Mn |
| Dec 31, 2023 | 64.00 Mn |
| Sep 30, 2023 | 145.00 Mn |
| Jun 30, 2023 | 165.00 Mn |
| Mar 31, 2023 | -407.00 Mn |
| Dec 31, 2022 | 220.00 Mn |
| Sep 30, 2022 | 140.00 Mn |
| Jun 30, 2022 | 134.00 Mn |
| Mar 31, 2022 | -388.00 Mn |
| Dec 31, 2021 | 136.00 Mn |
Texas Instruments 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=TXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "TXN", "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=TXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();