Sify Technologies (SIFY) Operating Expenses (2009 - 2026)
Sify Technologies' Operating Expenses was -$97.82 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$99.97 million a year earlier.
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Analysis
Sify Technologies (SIFY) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sify Technologies' Operating Expenses was -$602.3 million through Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was -$81.89 million.
- In earlier fiscal years, Operating Expenses was -$82.34 million in FY2025, -$77.24 million in FY2024, -$82.99 million in FY2023 and $65.81 million in FY2022.
- Quarterly Operating Expenses has moved between -$389.02 million (fiscal Q3 2026) and -$15.88 million (fiscal Q4 2022) over five years.
- Per Business Quant data, SIFY's Operating Expenses in the three fiscal quarters before Q1 2027 was -$22.56 million (Q4 2026), -$389.02 million (Q3 2026) and -$92.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 12.28 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 7.29 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 705.21 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 1.96 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 758.20 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 2.62 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 138.30 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 581.36 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 955.50 Mn |
| 10 | Sify Technologies | 836.33 Mn | 836.33 Mn | 51.65 Mn | -97.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -97.82 Mn |
| Mar 31, 2026 | -22.56 Mn |
| Dec 31, 2025 | -389.02 Mn |
| Sep 30, 2025 | -92.90 Mn |
| Jun 30, 2025 | -99.97 Mn |
| Mar 31, 2025 | -22.83 Mn |
| Dec 31, 2024 | -382.56 Mn |
| Sep 30, 2024 | -98.92 Mn |
| Jun 30, 2024 | -91.03 Mn |
| Mar 31, 2024 | -91.80 Mn |
| Dec 31, 2023 | -346.47 Mn |
| Sep 30, 2023 | -84.42 Mn |
| Jun 30, 2023 | -88.26 Mn |
| Mar 31, 2023 | -82.99 Mn |
| Dec 31, 2022 | -18.39 Mn |
| Sep 30, 2022 | -18.07 Mn |
| Jun 30, 2022 | -16.52 Mn |
| Mar 31, 2022 | -15.88 Mn |
| Dec 31, 2021 | -17.06 Mn |
| Sep 30, 2021 | -18.63 Mn |
API Access
Sify Technologies 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=SIFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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-expenses&ticker=SIFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();