Ttm Technologies (TTMI) Operating Expenses (2010 - 2026)
Ttm Technologies (TTMI) posted Operating Expenses of $102.8 million for Q2 2026, up 19.1% from $86.34 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Ttm Technologies (TTMI) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 29, 2026, Operating Expenses at Ttm Technologies was $381.49 million, up 5.0% year-over-year; for FY2025, it was $337 million, down 6.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Ttm Technologies' Operating Expenses was $361.33 million in FY2024 (-2.6%), $370.95 million in FY2023 and $246.02 million in FY2022.
- Quarterly Operating Expenses has run from a low of $78.24 million in Q2 2024 to a high of $147.24 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last seven quarters, with growth averaging 2.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $108.73 million (Q1 2026), $85.12 million (Q4 2025) and $84.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Ttm Technologies | 13.08 Bn | 11.17 Bn | 211.86 Mn | 102.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2026 | 102.80 Mn |
| Mar 30, 2026 | 108.73 Mn |
| Dec 29, 2025 | 85.12 Mn |
| Sep 29, 2025 | 84.83 Mn |
| Jun 30, 2025 | 86.34 Mn |
| Mar 31, 2025 | 80.71 Mn |
| Dec 30, 2024 | 117.51 Mn |
| Sep 30, 2024 | 78.93 Mn |
| Jul 1, 2024 | 78.24 Mn |
| Apr 1, 2024 | 86.65 Mn |
| Jan 1, 2024 | 147.24 Mn |
| Oct 2, 2023 | 123.47 Mn |
| Jul 3, 2023 | 77.10 Mn |
| Apr 3, 2023 | 89.59 Mn |
| Oct 3, 2022 | 78.79 Mn |
| Jul 4, 2022 | 79.87 Mn |
| Apr 4, 2022 | 65.06 Mn |
| Jan 3, 2022 | 64.25 Mn |
| Sep 27, 2021 | 60.94 Mn |
| Jun 28, 2021 | 59.02 Mn |
API Access
Ttm Technologies Operating 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=operating-expenses&ticker=TTMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TTMI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TTMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();