Sify Technologies (SIFY) Return on Sales [ROS] (2009 - 2026)
Sify Technologies' Return on Sales [ROS] was 9.03% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 4.03 percentage points from 5.01% a year earlier but down 0.03 percentage points from the prior quarter.
Sify Technologies (SIFY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sify Technologies' Return on Sales [ROS] was 7.69% through Jun 30, 2026, up 2.27 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 6.54%, up 0.95 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of -3.29 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 5.59% in FY2025 (-0.49 pp), 6.08% in FY2024 (-1.25 pp), 7.34% in FY2023 (-3.21 pp) and 10.54% in FY2022 (+0.71 pp).
- Quarterly Return on Sales [ROS] has moved between 3.83% (fiscal Q4 2025) and 60.89% (fiscal Q3 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last five quarters, with an average year-over-year change of +1.59 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2022 (a gain of 6.31 percentage points); the worst was fiscal Q3 2024 (a drop of 46.49 percentage points).
- Per Business Quant data, SIFY's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was 9.06% (Q4 2026), 5.84% (Q3 2026) and 6.72% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | 9.24% |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 7.30% |
| 10 | Sify Technologies | 1.45 Bn | 1.40 Bn | 51.65 Mn | 9.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.03% |
| Mar 31, 2026 | 9.06% |
| Dec 31, 2025 | 5.84% |
| Sep 30, 2025 | 6.72% |
| Jun 30, 2025 | 5.01% |
| Mar 31, 2025 | 3.83% |
| Dec 31, 2024 | 5.14% |
| Sep 30, 2024 | 7.58% |
| Jun 30, 2024 | 6.01% |
| Mar 31, 2024 | 7.80% |
| Dec 31, 2023 | 5.66% |
| Sep 30, 2023 | 4.08% |
| Jun 30, 2023 | 7.94% |
| Mar 31, 2023 | 36.45% |
| Dec 31, 2022 | 52.15% |
| Sep 30, 2022 | 7.17% |
| Jun 30, 2022 | 52.83% |
| Mar 31, 2022 | 57.65% |
| Dec 31, 2021 | 60.89% |
| Sep 30, 2021 | 10.21% |
Sify Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SIFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SIFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();