Nerdy (NRDY) Total Liabilities (2019 - 2026)
Nerdy's Total Liabilities came in at $38.64 million for Q2 2026, up 54.9% from $24.95 million a year earlier but down 12.3% from the prior quarter.
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Analysis
Nerdy (NRDY) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Nerdy's Total Liabilities was $47.23 million, up 50.5% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -36.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $31.39 million in FY2024 (-19.8%), $39.14 million in FY2023 (-24.2%), $51.64 million in FY2022 (-36.5%) and $81.34 million in FY2021 (-82.2%).
- The five-year range for quarterly Total Liabilities is $24.95 million (Q2 2025) to $191.58 million (Q3 2021).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 54.9%), and the weakest in Q2 2022 (a decline of 94.1%).
- Business Quant data shows NRDY's Total Liabilities at $44.04 million (Q1 2026), $47.23 million (Q4 2025) and $33.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Nerdy | 107.68 Mn | -47.38 Mn | 27.98 Mn | 38.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.64 Mn |
| Mar 31, 2026 | 44.04 Mn |
| Dec 31, 2025 | 47.23 Mn |
| Sep 30, 2025 | 33.36 Mn |
| Jun 30, 2025 | 24.95 Mn |
| Mar 31, 2025 | 30.16 Mn |
| Dec 31, 2024 | 31.39 Mn |
| Sep 30, 2024 | 38.95 Mn |
| Jun 30, 2024 | 28.78 Mn |
| Mar 31, 2024 | 36.17 Mn |
| Dec 31, 2023 | 39.14 Mn |
| Sep 30, 2023 | 40.96 Mn |
| Jun 30, 2023 | 58.70 Mn |
| Mar 31, 2023 | 71.15 Mn |
| Dec 31, 2022 | 51.64 Mn |
| Sep 30, 2022 | 55.70 Mn |
| Jun 30, 2022 | 50.12 Mn |
| Mar 31, 2022 | 99.70 Mn |
| Dec 31, 2021 | 81.34 Mn |
| Sep 30, 2021 | 191.58 Mn |
API Access
Nerdy 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=NRDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NRDY", "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=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();