Track (TRCK) Operating Expenses (2009 - 2026)
Track (TRCK) recorded Operating Expenses of $3.99 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.8% from $3.84 million a year earlier but down 2.3% from the prior quarter.
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Analysis
Track (TRCK) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Track's Operating Expenses came in at $15.6 million as of Jun 30, 2026, down 9.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $16.26 million, down 14.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $19.09 million in FY2024 (+13.4%), $16.84 million in FY2023 (-13.4%), $19.45 million in FY2022 (+18.7%) and $16.39 million in FY2021 (+3.2%).
- Quarterly Operating Expenses has ranged from $3.48 million in fiscal Q1 2026 to $6.22 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 6.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 38.5% in fiscal Q4 2022, against a decline of 36.0% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.08 million (Q2 2026), $3.48 million (Q1 2026) and $4.05 million (Q4 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 | Track | 14.88 Mn | -6.27 Mn | 4.24 Mn | 3.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.99 Mn |
| Mar 31, 2026 | 4.08 Mn |
| Dec 31, 2025 | 3.48 Mn |
| Sep 30, 2025 | 4.05 Mn |
| Jun 30, 2025 | 3.84 Mn |
| Mar 31, 2025 | 4.07 Mn |
| Dec 31, 2024 | 4.30 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 4.79 Mn |
| Mar 31, 2024 | 4.92 Mn |
| Dec 31, 2023 | 4.39 Mn |
| Sep 30, 2023 | 3.98 Mn |
| Jun 30, 2023 | 3.94 Mn |
| Mar 31, 2023 | 4.59 Mn |
| Dec 31, 2022 | 4.32 Mn |
| Sep 30, 2022 | 6.22 Mn |
| Jun 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | 4.53 Mn |
| Dec 31, 2021 | 4.20 Mn |
| Sep 30, 2021 | 4.49 Mn |
API Access
Track 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=TRCK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TRCK", "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=TRCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();