Celestica (CLS) Accumulated Expenses (2016 - 2025)
Celestica's Accumulated Expenses was $1.9 billion in Q4 2025, up 18.1% from $1.61 billion a year earlier.
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Analysis
Celestica (CLS) Accumulated Expenses (2016 - 2025) Analysis & Trends
From Q4 2016 onward, Celestica has reported Accumulated Expenses for 10 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 28.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $1.61 billion in FY2024 (-11.3%), $1.81 billion in FY2023 (+23.8%), $1.46 billion in FY2022 (+65.4%) and $884.3 million in FY2021 (+59.9%).
- The Q4 2025 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Celestica | 41.56 Bn | 39.75 Bn | 577.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.90 Bn |
| Dec 31, 2024 | 1.61 Bn |
| Dec 31, 2023 | 1.81 Bn |
| Dec 31, 2022 | 1.46 Bn |
| Dec 31, 2021 | 884.30 Mn |
| Dec 31, 2020 | 553.10 Mn |
| Dec 31, 2019 | 370.90 Mn |
| Dec 31, 2018 | 320.40 Mn |
| Dec 31, 2017 | 233.20 Mn |
| Dec 31, 2016 | 261.70 Mn |
API Access
Celestica 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=CLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CLS", "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=CLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();