Sify Technologies (SIFY) Gross Margin (2009 - 2026)
Sify Technologies (SIFY) posted Gross Margin of 39.59% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.90 percentage points from 38.69% a year earlier but down 2.01 percentage points from the prior quarter.
Sify Technologies (SIFY) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Sify Technologies was 40.40%, up 2.39 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 40.08%, up 2.56 percentage points from FY2025.
- Annual Gross Margin has increased for three consecutive fiscal years, with a five-year change of +0.54 percentage points (FY2021 to FY2026).
- In prior fiscal years, Sify Technologies' Gross Margin was 37.53% in FY2025 (+0.18 pp), 37.35% in FY2024 (+1.35 pp), 36.00% in FY2023 (-4.64 pp) and 40.64% in FY2022 (+1.10 pp).
- Quarterly Gross Margin has run from a low of 35.17% in fiscal Q3 2023 to a high of 42.05% in fiscal Q3 2022 over five years.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q3 2022, with a gain of 4.51 percentage points; the weakest was fiscal Q3 2023, with a drop of 6.87 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 41.60% (Q4 2026), 40.05% (Q3 2026) and 40.34% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,956.80 Bn | 3,879.95 Bn | 60.48 Bn | 67.20% |
| 2 | International Business Machines | 226.42 Bn | 177.24 Bn | 9.91 Bn | 57.73% |
| 3 | Cloudflare | 104.66 Bn | 88.19 Bn | 499.52 Mn | 71.76% |
| 4 | Equinix | 97.04 Bn | 85.61 Bn | 1.40 Bn | 53.14% |
| 5 | Nebius | 41.06 Bn | 14.49 Bn | 448.70 Mn | 77.06% |
| 6 | CoreWeave | 34.24 Bn | 21.33 Bn | 1.70 Bn | 65.86% |
| 7 | Verisign | 27.95 Bn | 25.16 Bn | 384.60 Mn | 88.50% |
| 8 | Nutanix | 18.34 Bn | 10.03 Bn | 651.35 Mn | 86.03% |
| 9 | GoDaddy | 14.33 Bn | 9.91 Bn | 828.20 Mn | 63.81% |
| 10 | Sify Technologies | 838.50 Mn | 838.50 Mn | 51.65 Mn | 39.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.59% |
| Mar 31, 2026 | 41.60% |
| Dec 31, 2025 | 1,498.06% |
| Sep 30, 2025 | 40.34% |
| Jun 30, 2025 | 38.69% |
| Mar 31, 2025 | 39.49% |
| Dec 31, 2024 | 1,214.84% |
| Sep 30, 2024 | 38.07% |
| Jun 30, 2024 | 36.73% |
| Mar 31, 2024 | 36.62% |
| Dec 31, 2023 | 1,054.52% |
| Sep 30, 2023 | 37.51% |
| Jun 30, 2023 | 4,124.68% |
| Mar 31, 2023 | 35.52% |
| Dec 31, 2022 | 35.17% |
| Sep 30, 2022 | 37.16% |
| Jun 30, 2022 | 36.31% |
| Mar 31, 2022 | 40.10% |
| Dec 31, 2021 | 42.05% |
| Sep 30, 2021 | 40.90% |
Sify Technologies Gross Margin 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=gross-margin&ticker=SIFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=SIFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();