SkyAI (SKYA) Total Non-Current Liabilities (2021 - 2026)
SkyAI (SKYA) recorded Total Non-Current Liabilities of $2.73 million in Q3 2026, down 73.5% from $10.3 million a year earlier and down 9.7% from the prior quarter.
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Analysis
SkyAI (SKYA) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, SkyAI reported Total Non-Current Liabilities of $4.6 million, down 11.9% from FY2024.
- Annual Total Non-Current Liabilities has a four-year compound annual growth rate of 20.5% (FY2021 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $5.22 million in FY2024 (+264.4%), $1.43 million in FY2023 (+36.8%), $1.05 million in FY2022 (-52.0%) and $2.18 million in FY2021.
- Quarterly Total Non-Current Liabilities has ranged from $517,928 in Q3 2022 to $10.3 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with growth averaging 73.1%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 264.4% in Q4 2024, against a decline of 73.5% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.02 million (Q2 2026), $2.14 million (Q1 2026) and $4.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 17.66 Bn |
| 10 | SkyAI | 166.49 Mn | 121.19 Mn | - | 2.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.73 Mn |
| Jun 30, 2026 | 3.02 Mn |
| Mar 31, 2026 | 2.14 Mn |
| Dec 31, 2025 | 4.60 Mn |
| Sep 30, 2025 | 10.30 Mn |
| Jun 30, 2025 | 1.23 Mn |
| Mar 31, 2025 | 999,110.00 |
| Dec 31, 2024 | 5.22 Mn |
| Sep 30, 2024 | 3.72 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 1.60 Mn |
| Jun 30, 2023 | 1.59 Mn |
| Mar 31, 2023 | 1.14 Mn |
| Dec 31, 2022 | 1.05 Mn |
| Sep 30, 2022 | 517,928.00 |
| Jun 30, 2022 | 558,298.00 |
| Mar 31, 2022 | 2.61 Mn |
| Dec 31, 2021 | 2.18 Mn |
API Access
SkyAI 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=SKYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SKYA", "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=SKYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();