Kyndryl Holdings (KD) Operating Expenses (2020 - 2026)
Kyndryl Holdings (KD) posted Operating Expenses of $630 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 24.7% from $837 million a year earlier and down 27.9% from the prior quarter.
Powered by 
Analysis
Kyndryl Holdings (KD) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Kyndryl Holdings was $3.07 billion, down 3.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $3.46 billion, up 10.6% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -6.0% (FY2021 to FY2026).
- In prior fiscal years, Kyndryl Holdings' Operating Expenses was $3.13 billion in FY2025 (-12.2%), $3.56 billion in FY2024 (-12.7%), $4.08 billion in FY2023 and $3.03 billion in FY2022 (-35.6%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Expenses in data going back to fiscal Q2 2023.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 4.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2026, with growth of 30.1%; the weakest was fiscal Q1 2027, with a decline of 24.7%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $874 million (Q4 2026), $903 million (Q3 2026) and $659 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Kyndryl Holdings | 2.44 Bn | -4.88 Bn | 776.00 Mn | 630.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 630.00 Mn |
| Mar 31, 2026 | 874.00 Mn |
| Dec 31, 2025 | 903.00 Mn |
| Sep 30, 2025 | 659.00 Mn |
| Jun 30, 2025 | 837.00 Mn |
| Mar 31, 2025 | 832.00 Mn |
| Dec 31, 2024 | 694.00 Mn |
| Sep 30, 2024 | 798.00 Mn |
| Jun 30, 2024 | 804.00 Mn |
| Mar 31, 2024 | 851.00 Mn |
| Dec 31, 2023 | 835.00 Mn |
| Sep 30, 2023 | 902.00 Mn |
| Jun 30, 2023 | 972.00 Mn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 995.00 Mn |
| Jun 30, 2022 | 1.03 Bn |
| Dec 31, 2021 | 1.07 Bn |
| Sep 30, 2021 | 1.32 Bn |
| Jun 30, 2021 | 1.22 Bn |
| Mar 31, 2021 | 1.11 Bn |
API Access
Kyndryl 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=KD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=KD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();