TTEC Holdings (TTEC) Operating Expenses (2010 - 2026)
TTEC Holdings (TTEC) posted Operating Expenses of $444.49 million for Q2 2026, down 10.1% from $494.7 million a year earlier and down 6.9% from the prior quarter.
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Analysis
TTEC Holdings (TTEC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at TTEC Holdings was $2.17 billion, up 4.7% year-over-year; for FY2025, it came in at $2.25 billion, down 5.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In prior years, TTEC Holdings' Operating Expenses was $2.38 billion in FY2024 (+1.5%), $2.34 billion in FY2023 (+3.1%), $2.28 billion in FY2022 (+10.7%) and $2.06 billion in FY2021 (+17.8%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2020.
- On a year-over-year basis, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 5.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 34.5%; the weakest was Q2 2025, with a decline of 34.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $477.68 million (Q1 2026), $742.5 million (Q4 2025) and $506.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | TTEC Holdings | 60.58 Mn | -259.81 Mn | 97.66 Mn | 444.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 444.49 Mn |
| Mar 31, 2026 | 477.68 Mn |
| Dec 31, 2025 | 742.50 Mn |
| Sep 30, 2025 | 506.81 Mn |
| Jun 30, 2025 | 494.70 Mn |
| Mar 31, 2025 | 510.04 Mn |
| Dec 31, 2024 | 552.14 Mn |
| Sep 30, 2024 | 516.54 Mn |
| Jun 30, 2024 | 758.50 Mn |
| Mar 31, 2024 | 553.93 Mn |
| Dec 31, 2023 | 609.26 Mn |
| Sep 30, 2023 | 577.57 Mn |
| Jun 30, 2023 | 569.10 Mn |
| Mar 31, 2023 | 588.88 Mn |
| Dec 31, 2022 | 609.53 Mn |
| Sep 30, 2022 | 556.85 Mn |
| Jun 30, 2022 | 568.37 Mn |
| Mar 31, 2022 | 540.42 Mn |
| Dec 31, 2021 | 560.40 Mn |
| Sep 30, 2021 | 540.71 Mn |
API Access
TTEC Holdings 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=TTEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TTEC", "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=TTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();