Kontoor Brands (KTB) Accumulated Expenses (2018 - 2026)
Kontoor Brands (KTB) posted Accumulated Expenses of $213.8 million for Q3 2026, down 10.13% on a QoQ basis from $237.9 million in Q1 2026, and up 8.31% year-over-year from $197.4 million in Q3 2025.
Kontoor Brands (KTB) Accumulated Expenses (2018 - 2026) Analysis & Trends
Kontoor Brands has reported Accumulated Expenses for 9 years, with the latest figure at $213.8 million in Q3 2026.
- On a quarterly basis, Accumulated Expenses rose 8.31% year-over-year to $213.8 million in Q3 2026; TTM through Jul 2026 was $213.8 million, a 8.31% increase from a year earlier, with the FY2026 full-year figure at $237.9 million, up 23.03% from the prior year.
- Accumulated Expenses was $213.8 million for Q3 2026 at Kontoor Brands, down from $237.9 million in the prior quarter.
- The five-year high for Accumulated Expenses was $315.2 million in Q3 2025, with the low at $153.5 million in Q3 2022.
- Average Accumulated Expenses over 5 years is $193.0 million, with a median of $195.2 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Accumulated Expenses retreated 23.1% in 2022, then surged 54.23% in 2025.
- Over 5 years, Accumulated Expenses stood at $197.0 million in 2022, then slipped by 12.98% to $171.4 million in 2023, then grew by 12.79% to $193.3 million in 2024, then surged by 63.03% to $315.2 million in 2025, then sank by 32.18% to $213.8 million in 2026.
- The last three Accumulated Expenses figures came in at $213.8 million (Q3 2026), $237.9 million (Q1 2026), and $315.2 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 213.77 Mn |
| Jan 3, 2026 | 237.86 Mn |
| Sep 27, 2025 | 315.20 Mn |
| Jun 28, 2025 | 197.37 Mn |
| Mar 29, 2025 | 166.81 Mn |
| Dec 28, 2024 | 193.34 Mn |
| Sep 28, 2024 | 204.38 Mn |
| Jun 29, 2024 | 153.90 Mn |
| Mar 30, 2024 | 163.25 Mn |
| Dec 30, 2023 | 171.41 Mn |
| Sep 30, 2023 | 168.36 Mn |
| Jul 1, 2023 | 156.77 Mn |
| Apr 1, 2023 | 197.20 Mn |
| Dec 31, 2022 | 196.99 Mn |
| Oct 1, 2022 | 167.69 Mn |
| Jul 2, 2022 | 153.53 Mn |
| Apr 2, 2022 | 198.78 Mn |
| Jan 1, 2022 | 217.16 Mn |
| Oct 2, 2021 | 218.06 Mn |
| Jul 3, 2021 | 187.24 Mn |
Kontoor Brands Accumulated 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=accumulated-expenses&ticker=KTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "KTB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=KTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();