Sify Technologies (SIFY) Depreciation & Amortization (CF) (2009 - 2012)
Sify Technologies' Depreciation & Amortization (CF) came in at $77 million for FY2026 (year ended Mar 31, 2026), up 17.0% from $65.82 million in FY2025.
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Analysis
Sify Technologies (SIFY) Depreciation & Amortization (CF) (2009 - 2012) Analysis & Trends
Going back to FY2009, Sify Technologies' Depreciation & Amortization (CF) data covers 18 fiscal years.
- Depreciation & Amortization (CF) has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 14.8% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Depreciation & Amortization (CF) in data going back to FY2009.
- Per Business Quant, earlier fiscal years put Depreciation & Amortization (CF) at $65.82 million in FY2025 (+15.0%), $57.25 million in FY2024 (+18.5%), $48.31 million in FY2023 (+11.5%) and $43.31 million in FY2022 (+12.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 11.02 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 533.00 Mn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 65.36 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 557.00 Mn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 253.80 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 1.39 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 6.60 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 17.06 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 13.30 Mn |
| 10 | Sify Technologies | 836.33 Mn | 836.33 Mn | 51.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2012 | -3.52 Mn |
| Mar 31, 2011 | -3.63 Mn |
| Mar 31, 2010 | -84,860.77 |
| Dec 31, 2009 | 3.99 Mn |
| Sep 30, 2009 | 3.10 Mn |
| Jun 30, 2009 | 3.02 Mn |
| Mar 31, 2009 | -61,907.25 |
API Access
Sify Technologies Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=SIFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "SIFY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=SIFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();