Sify Technologies (SIFY) Total Non-Current Liabilities (2009 - 2026)
Sify Technologies' Total Non-Current Liabilities came in at $415.7 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 1.7% from $408.63 million a year earlier.
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Analysis
Sify Technologies (SIFY) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Sify Technologies' Total Non-Current Liabilities was $402 million, down 2.8% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 35.1% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $413.46 million in FY2025 (+17.7%), $351.19 million in FY2024 (+58.7%), $221.29 million in FY2023 (+46.0%) and $151.54 million in FY2022 (+69.4%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2009.
- Year-over-year, Total Non-Current Liabilities increased in three of the last four quarters, with growth averaging 18.9%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q2 2023 (growth of 76.2%), and the weakest in fiscal Q2 2026 (a decline of 2.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 222.11 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 107.51 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 4.83 Bn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 25.68 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 15.23 Bn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 71.68 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 2.16 Bn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 4.34 Bn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 7.93 Bn |
| 10 | Sify Technologies | 836.33 Mn | 836.33 Mn | 51.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 402.74 Mn |
| Sep 30, 2025 | 386.00 Mn |
| Mar 31, 2025 | 413.67 Mn |
| Sep 30, 2024 | 397.44 Mn |
| Mar 31, 2024 | 351.11 Mn |
| Sep 30, 2023 | 247.24 Mn |
| Mar 31, 2023 | 245.96 Mn |
| Sep 30, 2022 | 162.27 Mn |
| Mar 31, 2022 | 151.50 Mn |
| Sep 30, 2021 | 92.11 Mn |
| Mar 31, 2021 | 89.55 Mn |
| Sep 30, 2020 | 84.89 Mn |
| Mar 31, 2020 | 84.93 Mn |
| Sep 30, 2019 | 84.23 Mn |
| Mar 31, 2019 | 67.93 Mn |
| Mar 31, 2018 | 49.84 Mn |
| Sep 30, 2017 | 39.86 Mn |
| Mar 31, 2017 | 28.27 Mn |
| Sep 30, 2016 | 26.83 Mn |
| Mar 31, 2016 | 31.23 Mn |
API Access
Sify Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SIFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SIFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();