Spyre Therapeutics (SYRE) Total Non-Current Liabilities (2015 - 2026)
Spyre Therapeutics' Total Non-Current Liabilities came in at $33.24 million for Q2 2026, down 60.0% from $83.06 million a year earlier and down 8.2% from the prior quarter.
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Analysis
Spyre Therapeutics (SYRE) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Spyre Therapeutics' Total Non-Current Liabilities was $35.87 million, up 23.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $28.98 million in FY2024 (-75.1%), $116.53 million in FY2023 (+459.2%), $20.84 million in FY2022 (-19.8%) and $25.97 million in FY2021 (+20.4%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Year-over-year, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 8.4%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2023 (growth of 459.2%), and the weakest in Q3 2024 (a decline of 86.7%).
- Business Quant data shows SYRE's Total Non-Current Liabilities at $36.19 million (Q1 2026), $35.87 million (Q4 2025) and $46.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Spyre Therapeutics | 7.84 Bn | 7.84 Bn | - | 33.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.24 Mn |
| Mar 31, 2026 | 36.19 Mn |
| Dec 31, 2025 | 35.87 Mn |
| Sep 30, 2025 | 46.27 Mn |
| Jun 30, 2025 | 83.06 Mn |
| Mar 31, 2025 | 70.68 Mn |
| Dec 31, 2024 | 28.98 Mn |
| Sep 30, 2024 | 57.54 Mn |
| Jun 30, 2024 | 22.12 Mn |
| Mar 31, 2024 | 296.22 Mn |
| Dec 31, 2023 | 116.53 Mn |
| Sep 30, 2023 | 431.98 Mn |
| Dec 31, 2022 | 20.84 Mn |
| Sep 30, 2022 | 24.01 Mn |
| Jun 30, 2022 | 22.55 Mn |
| Mar 31, 2022 | 21.51 Mn |
| Dec 31, 2021 | 25.97 Mn |
| Sep 30, 2021 | 26.79 Mn |
| Jun 30, 2021 | 27.76 Mn |
| Mar 31, 2021 | 39.65 Mn |
API Access
Spyre Therapeutics 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=SYRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SYRE", "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=SYRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();