Kyndryl Holdings (KD) Accumulated Expenses (2020 - 2026)
Kyndryl Holdings' (KD) quarterly Accumulated Expenses came in at $1.0 billion in Q2 2026, up 57.97% on a YoY basis from $640.0 million in Q2 2025, and up 11.96% quarter-over-quarter from $903.0 million in Q1 2026.
Kyndryl Holdings (KD) Accumulated Expenses (2020 - 2026) Analysis & Trends
Kyndryl Holdings (KD) has reported Accumulated Expenses for 7 consecutive years, with $1.0 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 57.97% year-over-year to $1.0 billion; the trailing twelve-month figure through Jun 2026 stood at $1.0 billion (up 57.97% YoY), and the FY2026 full-year result was $903.0 million, up 38.5% from the prior year.
- Accumulated Expenses improved to $1.0 billion in Q2 2026 per KD's latest filing, from $903.0 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $1.0 billion in Q2 2026 and bottomed at $506.0 million in Q4 2024.
- Historically, Accumulated Expenses has averaged $655.0 million across 5 years, with a median of $626.0 million in 2023.
- The widest YoY moves for Accumulated Expenses: up 58.11% in 2022, down 18.82% in 2022.
- Over 5 years, Accumulated Expenses stood at $604.0 million in 2022, then retreated by 1.82% to $593.0 million in 2023, then fell by 14.67% to $506.0 million in 2024, then soared by 54.74% to $783.0 million in 2025, then rose by 29.12% to $1.0 billion in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $1.0 billion, $903.0 million, and $783.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 903.00 Mn |
| Dec 31, 2025 | 783.00 Mn |
| Sep 30, 2025 | 679.00 Mn |
| Jun 30, 2025 | 640.00 Mn |
| Mar 31, 2025 | 652.00 Mn |
| Dec 31, 2024 | 506.00 Mn |
| Sep 30, 2024 | 538.00 Mn |
| Jun 30, 2024 | 523.00 Mn |
| Mar 31, 2024 | 609.00 Mn |
| Dec 31, 2023 | 593.00 Mn |
| Sep 30, 2023 | 628.00 Mn |
| Jun 30, 2023 | 556.00 Mn |
| Mar 31, 2023 | 624.00 Mn |
| Dec 31, 2022 | 604.00 Mn |
| Sep 30, 2022 | 606.00 Mn |
| Jun 30, 2022 | 653.00 Mn |
| Mar 31, 2022 | 682.00 Mn |
| Dec 31, 2021 | 744.00 Mn |
| Sep 30, 2021 | 494.00 Mn |
Kyndryl Holdings 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=KD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "KD", "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=KD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();