TTEC Holdings (TTEC) Operating Leases (2019 - 2026)
TTEC Holdings (TTEC) posted Operating Leases of $48.12 million for Q2 2026, down 38.4% from $78.06 million a year earlier and down 8.0% from the prior quarter.
TTEC Holdings (TTEC) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, TTEC Holdings' Operating Leases came in at $61.17 million, down 13.9% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- In prior years, TTEC Holdings' Operating Leases was $71.01 million in FY2024 (-26.7%), $96.81 million in FY2023 (+39.1%), $69.58 million in FY2022 (+8.0%) and $64.42 million in FY2021 (-34.5%).
- The Q2 2026 figure stands as the lowest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has declined in each of the last nine quarters, with an average decline of 21.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2023, with growth of 41.3%; the weakest was Q2 2026, with a decline of 38.4%.
- According to Business Quant data, Operating Leases for the three prior quarters was $52.32 million (Q1 2026), $61.17 million (Q4 2025) and $66.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | TTEC Holdings | 60.58 Mn | -259.81 Mn | 97.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.12 Mn |
| Mar 31, 2026 | 52.32 Mn |
| Dec 31, 2025 | 61.17 Mn |
| Sep 30, 2025 | 66.83 Mn |
| Jun 30, 2025 | 78.06 Mn |
| Mar 31, 2025 | 65.24 Mn |
| Dec 31, 2024 | 71.01 Mn |
| Sep 30, 2024 | 79.91 Mn |
| Jun 30, 2024 | 83.86 Mn |
| Mar 31, 2024 | 90.22 Mn |
| Dec 31, 2023 | 96.81 Mn |
| Sep 30, 2023 | 97.90 Mn |
| Jun 30, 2023 | 89.39 Mn |
| Mar 31, 2023 | 74.99 Mn |
| Dec 31, 2022 | 69.58 Mn |
| Sep 30, 2022 | 69.27 Mn |
| Jun 30, 2022 | 72.29 Mn |
| Mar 31, 2022 | 70.14 Mn |
| Dec 31, 2021 | 64.42 Mn |
| Sep 30, 2021 | 73.17 Mn |
TTEC Holdings Operating Leases 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-leases&ticker=TTEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=TTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();