TE Connectivity (TEL) Change in Inventory (2014 - 2026)
TE Connectivity (TEL) recorded Change in Inventory of $34 million in fiscal Q3 2026 (quarter ended Jun 26, 2026), down 79.6% from $167 million a year earlier but up 13.3% from the prior quarter.
TE Connectivity (TEL) Change in Inventory (2014 - 2026) Analysis & Trends
On a TTM basis, TE Connectivity's Change in Inventory came in at $226 million as of Jun 26, 2026, up 11.9% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $160 million, up 433.3% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Inventory came in at $30 million in FY2024 (-33.3%), $45 million in FY2023 (+9.8%), $41 million in FY2022 (-92.6%) and $556 million in FY2021 (+524.7%).
- Quarterly Change in Inventory has ranged from -$398 million in fiscal Q4 2022 to $324 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Change in Inventory rose in two of the last four quarters, with growth averaging 32.9%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 155.1% in fiscal Q1 2026, against a decline of 89.6% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $30 million (Q2 2026), $301 million (Q1 2026) and -$139 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 1.05 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | - |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | -295.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | -7.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 663.80 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 60.00 Mn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 81.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 32.00 Mn |
| 10 | TE Connectivity | 62.17 Bn | 57.46 Bn | 1.84 Bn | 34.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 34.00 Mn |
| Mar 27, 2026 | 30.00 Mn |
| Dec 26, 2025 | 301.00 Mn |
| Sep 26, 2025 | -139.00 Mn |
| Jun 27, 2025 | 167.00 Mn |
| Mar 28, 2025 | 14.00 Mn |
| Dec 27, 2024 | 118.00 Mn |
| Sep 27, 2024 | -97.00 Mn |
| Jun 28, 2024 | -114.00 Mn |
| Mar 29, 2024 | -41.00 Mn |
| Dec 29, 2023 | 282.00 Mn |
| Sep 29, 2023 | -278.00 Mn |
| Jun 30, 2023 | 50.00 Mn |
| Mar 31, 2023 | -51.00 Mn |
| Dec 30, 2022 | 324.00 Mn |
| Sep 30, 2022 | -398.00 Mn |
| Jun 24, 2022 | 28.00 Mn |
| Mar 25, 2022 | 147.00 Mn |
| Dec 24, 2021 | 264.00 Mn |
| Sep 24, 2021 | 74.00 Mn |
TE Connectivity Change in Inventory 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-inventory&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "TEL", "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-inventory&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();