Spyre Therapeutics (SYRE) Total Liabilities (2015 - 2026)
Spyre Therapeutics (SYRE) reported Total Liabilities of $71.86 million for Q2 2026, down 13.5% from $83.06 million a year earlier and down 22.8% from the prior quarter.
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Analysis
Spyre Therapeutics (SYRE) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Spyre Therapeutics posted Total Liabilities of $62.55 million, down 31.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $90.68 million in FY2024 (-42.6%), $157.84 million in FY2023 (+657.4%), $20.84 million in FY2022 (-19.8%) and $25.99 million in FY2021 (+19.3%).
- Five-year quarterly Total Liabilities spans a low of $18.8 million in Q1 2023 and a high of $452.67 million in Q3 2023.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 30.8%.
- The high point for year-over-year Total Liabilities in five years was Q4 2023 (growth of 657.4%); the low point was Q2 2024 (a decline of 86.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $93.14 million (Q1 2026), $62.55 million (Q4 2025) and $49.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Spyre Therapeutics | 7.46 Bn | 7.46 Bn | - | 71.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.86 Mn |
| Mar 31, 2026 | 93.14 Mn |
| Dec 31, 2025 | 62.55 Mn |
| Sep 30, 2025 | 49.50 Mn |
| Jun 30, 2025 | 83.06 Mn |
| Mar 31, 2025 | 87.17 Mn |
| Dec 31, 2024 | 90.68 Mn |
| Sep 30, 2024 | 93.70 Mn |
| Jun 30, 2024 | 61.68 Mn |
| Mar 31, 2024 | 335.33 Mn |
| Dec 31, 2023 | 157.84 Mn |
| Sep 30, 2023 | 452.67 Mn |
| Jun 30, 2023 | 450.90 Mn |
| Mar 31, 2023 | 18.80 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 | 25.99 Mn |
| Sep 30, 2021 | 26.98 Mn |
API Access
Spyre Therapeutics Total 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-liabilities&ticker=SYRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SYRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();