Texas Instruments (TXN) Change in Accured Expenses (2009 - 2026)
Texas Instruments (TXN) recorded Change in Accured Expenses of $142 million in Q2 2026, down 17.4% from $172 million a year earlier.
Texas Instruments (TXN) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Texas Instruments' Change in Accured Expenses came in at $27 million as of Jun 30, 2026, down 81.5% year-over-year; for FY2025, it was $77 million, down 38.4% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Change in Accured 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 Accured 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 Accured Expenses rose in three of the last six quarters, with growth averaging 41.1%.
- Peak year-over-year performance for Change in Accured 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 -$447 million (Q1 2026), $211 million (Q4 2025) and $121 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Texas Instruments | 268.31 Bn | 246.14 Bn | 3.35 Bn | 142.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 135.00 Mn |
Texas Instruments Change in Accured 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();