Spire Global (SPIR) Total Non-Current Liabilities (2020 - 2026)
Spire Global (SPIR) recorded Total Non-Current Liabilities of $79.7 million in Q2 2026, down 9.8% from $88.33 million a year earlier.
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Analysis
Spire Global (SPIR) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Spire Global reported Total Non-Current Liabilities of $95.36 million, down 50.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $191.62 million in FY2024 (-2.0%), $195.49 million in FY2023 (+19.9%), $163.02 million in FY2022 (+84.2%) and $88.51 million in FY2021 (-0.7%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q3 2020.
- On a year-over-year basis, Total Non-Current Liabilities rose in 1 of the last seven quarters, with an average decline of 24.3%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 99.5% in Q1 2023, against a decline of 64.7% in Q1 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 280.36 Bn | 265.44 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 253.37 Bn | 233.78 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 134.62 Bn | 120.55 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 116.92 Bn | 104.23 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 95.78 Bn | 77.42 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 36.98 Bn | 27.07 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Zscaler | 35.32 Bn | 21.44 Bn | - | 5.20 Bn |
| 8 | Axon Enterprise | 32.81 Bn | 27.33 Bn | 546.45 Mn | 3.68 Bn |
| 9 | MongoDB | 28.75 Bn | 19.21 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Spire Global | 351.17 Mn | -36.66 Mn | 6.16 Mn | 79.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.70 Mn |
| Dec 31, 2025 | 95.36 Mn |
| Sep 30, 2025 | 89.59 Mn |
| Jun 30, 2025 | 88.33 Mn |
| Mar 31, 2025 | 196.08 Mn |
| Dec 31, 2024 | 191.62 Mn |
| Sep 30, 2024 | 183.86 Mn |
| Jun 30, 2024 | 180.14 Mn |
| Mar 31, 2024 | 189.20 Mn |
| Dec 31, 2023 | 195.49 Mn |
| Sep 30, 2023 | 202.54 Mn |
| Jun 30, 2023 | 196.21 Mn |
| Mar 31, 2023 | 188.60 Mn |
| Dec 31, 2022 | 163.02 Mn |
| Sep 30, 2022 | 140.23 Mn |
| Jun 30, 2022 | 137.57 Mn |
| Mar 31, 2022 | 94.53 Mn |
| Dec 31, 2021 | 88.51 Mn |
| Sep 30, 2021 | 123.14 Mn |
| Jun 30, 2021 | 280.08 Mn |
API Access
Spire Global 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=SPIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SPIR", "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=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();