Sify Technologies (SIFY) Operating Interest Expenses (2024 - 2025)
Sify Technologies (SIFY) reported Operating Interest Expenses of -$10.8 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$9.78 million a year earlier.
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Analysis
Sify Technologies (SIFY) Operating Interest Expenses (2024 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sify Technologies' Operating Interest Expenses came in at -$44.12 million; for FY2026 (ended Mar 31, 2026), it came in at -$38 million.
- By fiscal year, Operating Interest Expenses came in at -$28.58 million in FY2025, -$26.32 million in FY2024 and -$18 million in FY2023.
- Five-year quarterly Operating Interest Expenses spans a low of -$13.77 million in fiscal Q4 2026 and a high of -$6.07 million in fiscal Q2 2024.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -$13.77 million (Q4 2026), -$10.56 million (Q3 2026) and -$9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | - |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | - |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | - |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | - |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | - |
| 10 | Sify Technologies | 836.33 Mn | 836.33 Mn | 51.65 Mn | - |
API Access
Sify Technologies Operating Interest 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-interest-expenses&ticker=SIFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "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=operating-interest-expenses&ticker=SIFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();